Kevin Murphy

Treatment of moderate to severe asthma: patient perspectives on combination inhaler therapy and implications for adherence (2009)

Murphy, Kevin

Kevin R Murphy,1 Bruce G Bender21Allergy, Asthma and Pulmonary Research, Boys Town National Research Hospital, Omaha, Nebraska, USA; 2Division of Pediatric Behavioral Health, National Jewish...

Checking in With the Scientist–Practitioner Model: How Are We Doing? (2009)

Daniel Beal, Kevin Murphy, Howard Weiss

The science and practice of industrial-organizational psychology is being influenced by a number of factors. For example, within academics, we see an increase in the number of faculty members taking...

Contextual vision (2009)

Antonio Torralba, Kevin Murphy, William T. Freeman, Leslie Kaelbling

We are interested in detecting objects, such as cars and faces, in images. Standard approaches look at each patch of the image in isolation and attempt to classify it as positive (containing the...

and (2009)

Steven D. Levitt, Chad Syverson, Michael Greenstone, Jens Ludwig, Chris Mayer, Tobias Moskowitz, ...

Agents are often better informed than the clients who hire them and may exploit this informational advantage. Real-estate agents, who know much more about the housing market than the typical...

High-resolution mapping and analysis of copy number variations in the human genome: A data resource for clinical and research applications (2009)

Shaikh, Tamim H., Gai, Xiaowu, Perin, Juan C., Glessner, Joseph T., Xie, Hongbo, Murphy, Kevin, ...

We present a database of copy number variations (CNVs) detected in 2026 disease-free individuals, using high-density, SNP-based oligonucleotide microarrays. This large cohort, comprised mainly of...

Intel's open-source probabilistic networks library. 2003: http://www.intel.com/technology/computing/pnl/ind ex.htm (2008)

Victor Eruhimov, Kevin Murphy, Gary Bradski

PNL (probabilistic networks library) is an open-source library for inference and learning using graphical models that is currently being developed by Intel’s Russia Research Lab. This abstract acts...

Belief net structure learning from uncertain interventions (2008)

Daniel Eaton, Kevin Murphy

We show how to learn causal structure from interventions with unknown effects and/or side effects by adding the intervention variables to the graph and using Bayesian inference to learn the resulting...

Abstract (2008)

Kevin Murphy, Antonio Torralba, William T. Freeman

We consider the problem of concurrent scene classification (is this a street scene, office scene, etc.) and object detection (finding all the cars, faces, etc. in an image). The scene can be...

Learning Graphical Model Structure using L1-Regularization Paths (2008)

Mark Schmidt, Ru Niculescu-mizil, Kevin Murphy

Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the structure of...

Abstract (2008)

Kevin Murphy, Antonio Torralba, William T. Freeman

We consider the problem of detecting several types of objects (cars, desks, bookshelves, pedestrians, etc.) simultaneously. We treat the objects as if they were parts of a scene, and perform joint...

Abstract (2008)

Jaimyoung Kwon, Kevin Murphy

We consider the problem of modeling loop detector data collected from freeways. The data, which is a vector time-series, contains the speed of vehicles, averaged over a 30 second sampling window, at...

Computational Intelligence: A Logical Approach. 1998 Chapter 10 (2008)

D. Poole, A. Mackworth, R. Goebel, Kevin Murphy

A brief introduction to graphical models and Bayesian networks. 1998

Object (2008)

Kevin Murphy, Antonio Torralba, Daniel Eaton, William Freeman

detection and localization using local and global features

Abstract (2008)

Kevin Murphy, Antonio Torralba, William T. Freeman

Standard approaches to object detection focus on local patches of the image, and try to classify them as background or not. We propose to use the scene context (image as a whole) as an extra source...

Improving nutrient uptake in wheat through cultivar specific interaction with Azospirillum (2008)

Hoagland, Dr. Lori, Murphy, Dr. Kevin, Carpenter-Boggs, Dr. Lynne, Jones, Dr. Steve

Obtaining sufficient plant available nitrogen in organic dryland wheat cropping systems is difficult. This study was conducted to determine whether inoculation with Azospirillum could improve...

Effect of cultivar and soil characteristics on nutritional value in organic and conventional wheat (2008)

Murphy, Dr. Kevin, Hoagland, Dr. Lori, Reeves, Dr. Philip, Jones, Dr. Stephen

Evidence of greater nutritional value in organic crops is currently a subject of intense debate. Our objectives in this study were to test for grain mineral concentration in 35 winter wheat cultivars...

Human Medial Frontal Cortex Activity Predicts Learning from Errors (2008)

Hester, Robert, Barre, Natalie, Murphy, Kevin, Silk, Tim J., Mattingley, Jason B.

Learning from errors is a critical feature of human cognition. It underlies our ability to adapt to changing environmental demands and to tune behavior for optimal performance. The posterior medial...

Human Medial Frontal Cortex Activity Predicts Learning from Errors (2008)

Hester, Robert, Barre, Natalie, Murphy, Kevin, Silk, Tim J., Mattingley, Jason B.

Learning from errors is a critical feature of human cognition. It underlies our ability to adapt to changing environmental demands and to tune behavior for optimal performance. The posterior medial...

Human Medial Frontal Cortex Activity Predicts Learning from Errors (2008)

Hester, Robert, Barre, Natalie, Murphy, Kevin, Silk, Tim J., Mattingley, Jason B.

Learning from errors is a critical feature of human cognition. It underlies our ability to adapt to changing environmental demands and to tune behavior for optimal performance. The posterior medial...

Improving nutrient uptake in wheat through cultivar specific interaction with Azospirillum (2008)

Hoagland, Dr. Lori, Murphy, Dr. Kevin, Carpenter-Boggs, Dr. Lynne, Jones, Dr. Steve

Obtaining sufficient plant available nitrogen in organic dryland wheat cropping systems is difficult. This study was conducted to determine whether inoculation with Azospirillum could improve...

Effect of cultivar and soil characteristics on nutritional value in organic and conventional wheat (2008)

Murphy, Dr. Kevin, Hoagland, Dr. Lori, Reeves, Dr. Philip, Jones, Dr. Stephen

Evidence of greater nutritional value in organic crops is currently a subject of intense debate. Our objectives in this study were to test for grain mineral concentration in 35 winter wheat cultivars...

also appreciate the helpful comments and advice on this research supplied by many colleagues, particularly (2008)

E. Glen Weyl, Gary Becker, Jeremy Bulow, Joe Farrell, James Heckman, Kevin Murphy, ...

A few of the results here were originally circulated as parts of other papers: “The Price Theory of Two-

Does REM sleep facilitate learning? (2007)

Kevin Murphy

s, vol 18, part 1). Rose and Smith are currently applying NMDA 8 antagonists to the rat's hippocampus to see how it effects the rat's ability to navigate a water maze. In particular, they...

MCMC for Conditionally Linear Gaussian State-Space Models (2007)

Kevin Murphy

Introduction Consider the problem of offline inference (smoothing) in the Dynamic Bayesian Network (DBN) shown in Figure 1, i.e., we want to compute P (X 1:T ; R 1:T jy 1:T ). If the Conditional...

CS 289 Final Project Report: A Software Agent for Recommending Movies (2007)

Kevin Murphy

this report describes the results of various experiments on this dataset. 2 Social information filtering

Abstract (2007)

Kevin Murphy, Antonio Torralba, William T. Freeman

Standard approaches to object detection focus on local patches of the image, and try to classify them as background or not. We propose to use the scene context (image as a whole) as an extra source...

*We are grateful to the Inter-American Development Bank, the Gildor Foundation, the NSF, and the Doing Business project of the World Bank for financial support, to Alfredo Larrea-Falcony (2007)

Rafael La Porta, Florencio Lopez-de-silanes, Andrei Shleifer, To Constanza Blanco, Luis Leyva, ...

We examine the effect of securities laws on market development in 49 countries. We find that public enforcement of laws benefits securities markets, especially in countries with efficient government...

Embedded Graphical Models (2007)

Kevin Murphy, Ara Ne An

It is widely known that inference in tree-structured graphical models can be performed very eciently using a message passing algorithm [Pea88]. However, trees are somewhat limited in their expressive...

and (2007)

John Dinardo, Kevin F. Hallock, Jörn-steffen Pischke, Kevin Murphy, Joe Tracy, ...

American Compensation Association for financial support. The views expressed are solely the authors and do not reflect the views or opinions of the American Compensation Association. 1 Unions and the...

Restructuring Top Management: (2007)

Sendhil Mullainathan, Kevin Murphy, U Nagarajan, Darius Palia, Richard Sansing, Karin Thorburn, ...

Abstract: There has been substantial research on both asset restructuring and top management changes. The connection between the two, however, has received little attention. Here, we examine spinoffs...

An Evolutionary Approach Towards Time Preferences ∗ (2007)

Arthur Robson, Balázs Szentes, Emil Iantchev, Edward Glaser, Faruk Gul, David Laibson, ...

Genes are assumed to generate choice behavior in an environment where there are intertemporal tradeoffs. A gene survives the evolutionary process if it is not possible for a rare mutant gene to grow...

Modeling changing dependency structure in multivariate time series (2007)

Xiang Xuan, Kevin Murphy

We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations using undirected...

Milwaukee's Community Development Block Grant: Connecting Youth Services and Economic Development (2007)

Shore, Bethany, Murphy, Kevin, Fitzgerald, Julie, Carlson, Nina

The City of Milwaukee uses federal block grant funds to contract with community organizations for youth services. The Milwaukee Budget Office asked the authors to review CDGA?s Youth Services grant...

AN EXPLORATORY STUDY OF STRATEGIC HUMAN RESOURCE MANAGEMENT HIGH PERFORMANCE WORK PRACTICES FOR UNIT LEVEL MANAGERS, IN THE CASUAL SEGMENT OF THE US RESTAURANT (2006)

Murphy, Kevin

The previous chapters described in detail the literature, theory and research on Co-alignment, RBV and SHRM that was the basis for the development of a construct for the conceptualization of HPWP in...

AN EXPLORATORY STUDY OF STRATEGIC HUMAN RESOURCE MANAGEMENT HIGH PERFORMANCE WORK PRACTICES FOR UNIT LEVEL MANAGERS, IN THE CASUAL SEGMENT OF THE US RESTAURANT (2006)

Murphy, Kevin

The previous chapters described in detail the literature, theory and research on Co-alignment, RBV and SHRM that was the basis for the development of a construct for the conceptualization of HPWP in...

Valuing the diversity of biodiversity (2006)

Christie, Mike, Hanley, Nick, Warren, John, Murphy, Kevin, Et Al

Policy makers have responded to concerns over declining levels of biodiversity by introducing a range of policy measures including agri-environment and wildlife management schemes. Costs for such...

Human gene name normalization using text matching with automatically extracted synonym dictionaries (2006)

Kevin Murphy, Yang Jin, Jessica S. Kim, Peter S. White

The identification of genes in biomedical text typically consists of two stages: identifying gene mentions and normalization of gene names. We have created an automated process that takes the output...

Valuing the diversity of biodiversity (2005)

Christie, Mike, Hanley, Nick, Warren, John, Murphy, Kevin, Wright, Robert, Hyde, Tony

Policy makers have responded to concerns over declining levels of biodiversity by introducing a range of policy measures including agri-environment and wildlife management schemes. Costs for such...

Models for generic visual object detection (2005)

Kevin Murphy

In this document, we provide a concise summary of various models that have recently been proposed for detecting and localizing categories of objects in clutter. We also discuss related problems such...

Is central nervous system processing altered in patients with heart failure? (2004)

Rosen, Stuart D., Murphy, Kevin, Leff, Alexander P., Cunningham, Vincent, Wise, Richard J.S., Adams, Lewis, ...

Aims Breathlessness is a cardinal symptom of heart failure and the altered regulation of breathing is common. The contribution of abnormal central nervous system activity has not previously been...

Is central nervous system processing altered in patients with heart failure? (2004)

Rosen, Stuart D., Murphy, Kevin, Leff, Alexander P., Cunningham, Vincent, Wise, Richard J.S., Adams, Lewis, ...

Aims Breathlessness is a cardinal symptom of heart failure and the altered regulation of breathing is common. The contribution of abnormal central nervous system activity has not previously been...

Is central nervous system processing altered in patients with heart failure? (2004)

Rosen, Stuart D., Murphy, Kevin, Leff, Alexander P., Cunningham, Vincent, Wise, Richard J.S., Adams, Lewis, ...

Aims Breathlessness is a cardinal symptom of heart failure and the altered regulation of breathing is common. The contribution of abnormal central nervous system activity has not previously been...

Representing hierarchical POMDPs as DBNs for multi-scale robot localization (2004)

Georgios Theocharous, Kevin Murphy, Leslie Pack Kaelbling

We explore the advantages of representing hierarchical partially observable Markov decision processes (H-POMDPs) as dynamic Bayesian networks (DBNs). In particular, we focus on the special case of...

Representing hierarchical POMDPs as DBNs for multi-scale robot localization (2004)

Georgios Theocharous, Kevin Murphy, Leslie Pack Kaelbling

We explore the advantages of representing hierarchical partially observable Markov decision processes (H-POMDPs) as dynamic Bayesian networks (DBNs). In particular, we focus on the special case of...

Is central nervous system processing altered in patients with heart failure? (2004)

Rosen, Stuart D., Murphy, Kevin, Leff, Alexander P., Cunningham, Vincent, Wise, Richard J.S., Adams, Lewis, ...

Aims Breathlessness is a cardinal symptom of heart failure and the altered regulation of breathing is common. The contribution of abnormal central nervous system activity has not previously been...

me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements (2004)

Murphy, Kevin, Raj, Towfique, Winters, R. Scott, White, Peter S.

Summary: We have adapted the originally described electronic PCR algorithm (Schuler, 1997) to perform string searches more accurately and much more rapidly than previously possible. Our...

me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements (2004)

Murphy, Kevin, Raj, Towfique, Winters, R. Scott, White, Peter S.

Summary: We have adapted the originally described electronic PCR (e-PCR) algorithm to perform string searches more accurately and much more rapidly than previously possible. Our implementation...

Is central nervous system processing altered in patients with heart failure? (2004)

Rosen, Stuart D., Murphy, Kevin, Leff, Alexander P., Cunningham, Vincent, Wise, Richard J.S., Adams, Lewis, ...

Aims Breathlessness is a cardinal symptom of heart failure and the altered regulation of breathing is common. The contribution of abnormal central nervous system activity has not previously been...

me-PCR: a refined ultrafast algorithm for identifying sequence-defined genomic elements (2004)

Murphy, Kevin, Raj, Towfique, Winters, R. Scott, White, Peter S.

Summary: We have adapted the originally described electronic PCR algorithm (Schuler, 1997) to perform string searches more accurately and much more rapidly than previously possible. Our...

Representing Hierarchical POMDPs as DBNs for Multi-Scale Map Learning (2003)

Georgios Theocharous, Kevin Murphy, Leslie Pack Kaelbling

We explore the advantages of representing hierarchical partially observable Markov decision processes (H-POMDPs) as dynamic Bayesian networks (DBNs). We use this model for representing and learning...

Representing Hierarchical POMDPs as DBNs for Multi-Scale Robot Localization (2003)

Georgios Theocharous, Kevin Murphy, Leslie Pack Kaelbling

We explore the advantages of representing hierarchical partially observable Markov decision processes (H-POMDPs) as dynamic Bayesian networks (DBNs). In particular, we focus on the special case of...

Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes (2003)

Kevin Murphy, Antonio Torralba, William T. Freeman

Standard approaches to object detection focus on local patches of the image, and try to classify them as background or not. We propose to use the scene context (image as a whole) as an extra source...

JEL Code: J31 (2003)

Pedro Carneiro, Edward Vytlacil, Sebastian Gay, Michael Greenstone, Larry Katz, Steve Levitt, ...

This research was supported by NSF 97-09-873, NSF-SES-0099195 and NICHD-40-4043-000-85-261. Carneiro benefited from support from Fundaçao Ciência e Tecnologia and Fundaçao Calouste Gulbenkian. We...

Dynamic Bayesian Networks for Audio-Visual Speech Recognition (2002)

Ara V. Nefian, Luhong Liang, Xiaobo Pi, Xiaoxing Liu, Kevin Murphy

The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the...

A coupled HMM for audio-visual speech recognition (2002)

Ara V. Nefian, Luhong Liang, Xiaobo Pi, Liu Xiaoxiang, Crusoe Mao, Kevin Murphy

In recent years several speech recognition systems that use visual together with audio information showed significant increase in performance over the standard speech recognition systems. The use of...

1 EURASIP Journal on Applied Signal Processing 2002:11, 1–15 c ○ 2002 Hindawi Publishing Corporation Dynamic Bayesian Networks for Audio-Visual Speech Recognition (2002)

Ara V. Nefian, Luhong Liang, Xiaobo Pi, Xiaoxing Liu, Kevin Murphy

The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the...

Dynamic Bayesian Networks for Audio-Visual Speech Recognition (2002)

Kevin Murphy, Xiaoxing Liu, Xiaobo Pi, Luhong Liang, Ara V. Nefian

The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the...

Dynamic Bayesian Networks for Audio-Visual Speech Recognition (2002)

Ara V. Nefian, Luhong Liang, Xiaobo Pi, Xiaoxing Liu, Kevin Murphy

The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the...

Speech production: Wernicke, Broca and beyond (2002)

Blank, S. Catrin, Scott, Sophie K., Murphy, Kevin, Warburton, Elizabeth, Wise, Richard J. S.

We investigated the brain systems engaged during propositional speech (PrSp) and two forms of non‐ propositional speech (NPrSp): counting and reciting overlearned nursery rhymes. Bilateral...

The Factored Frontier Algorithm for Approximate Inference in DBNs (2001)

Kevin Murphy, Yair Weiss

The Factored Frontier (FF) algorithm is a simple approximate inference algorithm for Dynamic Bayesian Networks (DBNs). It is very similar to the fully factorized version of the Boyen-Koller (BK)...

Separate neural subsystems within `Wernicke's area' (2001)

Wise, Richard J. S., Scott, Sophie K., Blank, S. Catrin, Mummery, Cath J., Murphy, Kevin, Warburton, Elizabeth A.

Over time, both the functional and anatomical boundaries of `Wernicke's area' have become so broad as to be meaningless. We have re-analysed four functional neuroimaging (PET) studies, three...

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks (2000)

Arnaud Doucet Engineering, Arnaud Doucet, Engineering Dept, Nando De Freitas, Kevin Murphy, Stuart Russell

Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of probability...

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks (2000)

Arnaud Doucet, Nando De Freitas, Kevin Murphy, Stuart Russell

Particle filters (PFs) are powerful sampling-based inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of probability...

Modeling Freeway Traffic with Coupled HMMs (2000)

Jaimyoung Kwon, Kevin Murphy

We consider the problem of modeling loop detector data collected from freeways. The data, which is a vector time-series, contains the speed of vehicles, averaged over a 30 second sampling window, at...

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks (2000)

Arnaud Doucet Engineering, Arnaud Doucet, Engineering Dept, Nando De Freitas, Kevin Murphy, Stuart Russell

Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of probability...

Modelling gene expression data using dynamic bayesian networks (1999)

Kevin Murphy, Saira Mian

Recently, there has been much interest in reverse engineering genetic networks from time series data. In this paper, we show that most of the proposed discrete time models — including the boolean...

Modelling gene expression data using dynamic bayesian networks (1999)

Kevin Murphy, Saira Mian

Recently, there has been much interest in reverse engineering genetic networks from time series data. In this paper, we show that most of the proposed discrete time models--- including the boolean...

Pearl's Algorithm and Multiplexer Nodes (1999)

Kevin Murphy

this paper, we derive Pearl's algorithm [Pea88] for belief propogation in polytrees, using what we consider to be a somewhat clearer notation. (A polytree is a directed graph, whose undirected...

Filtering, Smoothing and the Junction Tree Algorithm (1999)

Kevin Murphy

this paper is the first to show the correspondence explicitely. We use a representation called canonical characteristics [Lau92] instead of the more familiar moment characteristics. The main...

Modelling gene expression data using dynamic bayesian networks (1999)

Kevin Murphy, Saira Mian

Recently, there has been much interest in reverse engineering genetic networks from time series data. In this paper, we show that most of the proposed discrete time models — including the boolean...

Learning the structure of dynamic probabilistic networks (1998)

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules...

Learning the Structure of Dynamic Probabilistic Networks (1998)

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules...

Learning the structure of dynamic probabilistic networks (1998)

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules...

Learning the Structure of Dynamic Probabilistic Networks (1998)

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules...

Learning the Structure of Dynamic Probabilistic Networks (1998)

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules...

Fitting a Conditional Gaussian Distribution (1998)

Kevin Murphy

Introduction We consider the problem of finding the Maximum Likelihood (ML) estimates of the parameters of a conditional Gaussian node Y with continuous parent X and discrete parent Q, i.e., p(yjx; Q...

Learning the structure of dynamic probabilistic networks (1998)

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules...

Passively Learning Finite Automata (1996)

Kevin Murphy

We provide a survey of methods for inferring the structure of a finite automaton from passive observation of its behavior. We consider both deterministic automata and probabilistic automata (similar...

Grouping of Color and Texture Features for Automated Image Annotation (1996)

Serge Belongie, Robert Blasi, Kevin Murphy

We present a system for automated image annotation which is capable of detecting concepts such as sky, water and man-made structure in color images. The processing of each image consists of a feature...

Walt Whitman and Louis Sullivan: The Aesthetics of Egalitarianism (1988)

Murphy, Kevin

Examines the relation between Whitman and Functionalist architect Louis Sullivan and uses Whitman's poetry and cultural criticism "as a lens with which we might focus Sullivan's writings on...

Diazepam in the Treatment of Dyspnoea in the 'Pink Puffer' Syndrome (1980)

MITCHELL-HEGGS, PETER, MURPHY, KEVIN, MINTY, KEITH, GUZ, ABRAHAM, PATTERSON, SUSAN C., MINTY, PETER S. B., ...

Diazepam, in moderate doses, has been used in a placebo controlled, single blind study to treat dyspnoea in four patients severely disabled from chronic airflow obstruction. The subjects had the...

Persuasion in Politics

Kevin Murphy, Andrei Shleifer

We present a model of the creation of social networks, such as political parties, trade unions, religious coalitions, or political action committees, through discussion and mutual persuasion among...

Identification of higher brain centres that may encode the cardiorespiratory response to exercise in humans

Thornton, Judith M, Guz, Abe, Murphy, Kevin, Griffith, Alison R, Pedersen, David L, Kardos, Attila, ...

Positron emission tomography (PET) was used to identify the neuroanatomical correlates underlying ‘central command’ during imagination of exercise under hypnosis, in order to uncouple central...

Areas of the brain concerned with ventilatory load compensation in awake man

Isaev, Gennadi, Murphy, Kevin, Guz, Abraham, Adams, Lewis

There is broad agreement that the awake human ventilatory response to a moderate inspiratory load consists of a prolongation of inspiratory time (TI) with a maintenance of tidal volume (VT) and...

Relative Performance Evaluation for Chief Executive Officers

Robert Gibbons, Kevin Murphy

agency theory, relative performance evaluation, executive compensation

Relative Performance Evaluation for Chief Executive Officers

Robert Gibbons, Kevin Murphy

agency theory, relative performance evaluation, executive compensation

The Value of Life Near its End and Terminal Care

Gary Becker, Kevin Murphy, Tomas Philipson

Medical care at the end of life, which is often is estimated to contribute up to a quarter of US health care spending, often encounters skepticism from payers and policy makers who question its high...

The Factored Frontier Algorithm for Approximate Inference in DBNs

Kevin Murphy, Yair Weiss

The Factored Frontier (FF) algorithm is a simple approximate inference algorithm for Dynamic Bayesian Networks (DBNs). It is very similar to the fully factorized version of the Boyen-Koller (BK)...

Space-Efficient Inference in Dynamic Probabilistic Networks

John Binder, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks (DPNs) are a useful tool for modeling complex stochastic processes. The simplest inference task in DPNs is monitoring --- that is, computing a posterior distribution...