Andrew Arnold, William W. Cohen
In this paper we explore the usefulness of various types of publication-related metadata, such as citation networks and curated databases, for the task of identifying genes in academic biomedical...
Chinese Academy of Sciences (2009)
Xiubo Geng, Andrew Arnold, Tie-yan Liu, Hang Li, Tao Qin, Heung-yeung Shum
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existing methods do not...
Intra-document Structural Frequency Features for Semi-supervised Domain Adaptation ABSTRACT (2009)
Andrew Arnold, William W. Cohen
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access to large amounts of...
A Comparison of Methods for Transductive Transfer Learning (2008)
Andrew Arnold, Ramesh Nallapati, William W. Cohen
In this paper we examine the problem of domain adaptation for protein name extraction. First we define the general problem of transfer learning and the particular subproblem of domain adaptation. We...
A Comparison of Methods for Transductive Transfer Learning (2008)
Andrew Arnold, Ramesh Nallapati, William W. Cohen
In this paper we examine the problem of domain adaptation for protein name extraction. First we define the general problem of transfer learning and the particular subproblem of domain adaptation. We...
ABSTRACT Temporal Causal Modeling with Graphical Granger Methods (2008)
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data, which raises the...
Time and Attention: Students, Sessions, and Tasks (2008)
Andrew Arnold, Richard Scheines, Joseph E. Beck, Bill Jerome
Students in two classes in the fall of 2004 making extensive use of online courseware were logged as they visited over 500 different “learning pages ” which varied in length and in difficulty. We...
Feature Discovery in the Context of Educational Data Mining: An Inductive Approach (2008)
Andrew Arnold, Joseph E. Beck, Richard Scheines
Automated learning environments collect large amounts of information on the activities of their students.
Exploiting Temporal Structure for Causal Modeling (2008)
Andrew Arnold Machine, Andrew Arnold
The need for modeling causality, beyond mere statistical correlations, for meaningful application of data mining to real world problems has been recognized widely. The framework of Bayesian networks,...
2 Problem: Protein-name extraction (2008)
Andrew Arnold, William W. Cohen
• What we are able to do: – Train on large, labeled data sets drawn from same distribution as testing data • What we would like to be able do: – Leverage large, previously labeled data from a...
Exploiting feature hierarchy for transfer learning in named entity recognition (2008)
Andrew Arnold, Ramesh Nallapati, William W. Cohen
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task across natural language...
A comparative study of methods for transductive transfer learning (2007)
Andrew Arnold, Ramesh Nallapati, William W. Cohen
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. In this paper we address...
A comparative study of methods for transductive transfer learning (2007)
Andrew Arnold, Ramesh Nallapati, William W. Cohen
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While previous work has...
Constructionist Design Methodology for Interactive Intelligences (2004)
Kristinn R. Thórisson, Hrvoje Benko, Denis Abramov, Andrew Arnold, Sameer Maskey, Aruchunan Vaseekaran
We present a methodology for designing and implementing interactive intelligences. The Constructionist Methodology – so called because it advocates modular building blocks and incorporation of...
Constructionist Design Methodology for Interactive Intelligences (2004)
Kristinn R. Thórisson, Hrvoje Benko, Denis Abramov, Andrew Arnold, Sameer Maskey, Aruchunan Vaseekaran
We present a methodology for designing and implementing interactive intelligences. The Constructionist Design Methodology (CDM) – so called because it advocates modular building blocks and...
Constructionist Design Methodology for Interactive Intelligences (2004)
Kristinn R. Thórisson, Hrvoje Benko, Denis Abramov, Andrew Arnold, Sameer Maskey, Aruchunan Vaseekaran
We present a methodology for designing and implementing interactive intelligences. The Constructionist Methodology – so called because it advocates modular building blocks and incorporation of...
Eleazar Eskin, Andrew Arnold, Michael Prerau, Leonid Portnoy, Sal Stolfo
Abstract Most current intrusion detection systems employ signature-based methods or data mining-based methods which rely on labeled training data. This training data is typically expensive to...
Eleazar Eskin, Andrew Arnold, Michael Prerau, Leonid Portnoy, Sal Stolfo
Most current intrusion detection systems employ signature-based methods or data mining-based methods which rely on labeled training data. This training data is typically expensive to produce. We...