Anatomy of a Phishing Email (2004)
Christine Drake Jonathan, Jonathan J. Oliver, Eugene J. Koontz
This paper discusses the tricks employed by email scammers in "phishing" emails, which are emails that spoof a reputable company in an attempt to defraud the recipient of personal...
Finding overlapping components with MML (2000)
Rohan A. Baxter, Jonathan J. Oliver
We use minimum message length (MML) estimation for mixture modelling. MML estimates are derived to choose the number of components in the mixture model to best describe the data and to estimate the...
Using Mixtures of Experts on the GlucoWatch Biographer (1999)
Jonathan J. Oliver, Steve R. Waterhouse, Ronald T. Kurnik
This paper focuses on the statistical methods used to make estimates of blood glucose levels from noninvasive measurements. The statistical method described in this paper has been implemented on the...
Bayesian Approaches to Segmenting a Simple Time Series (1997)
Oliver, Jonathan J., Forbes, Catherine S.
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting simple time series. We develop two Bayesian approaches for segmenting a...
Bayesian Approaches to Segmenting a Simple Time Series (1997)
Oliver, Jonathan J., Forbes, Catherine S.
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting simple time series. We develop two Bayesian approaches for segmenting a...
Bayesian Approaches to Segmenting a Simple Time Series (1997)
Jonathan J. Oliver, Catherine S. Forbes
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting simple time series. We develop two Bayesian approaches for segmenting a...
Minimum Message Length Segmentation (1997)
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
. The segmentation problem arises in many applications in data mining, A.I. and statistics, including segmenting time series, decision tree algorithms and image processing. In this paper, we consider...
Bayesian Approaches to Segmenting a Simple Time Series (1997)
Oliver, Jonathan J., Forbes, Catherine S.
The segmentation problem arises in many applications in data mining, A.I. and statistics. In this paper, we consider segmenting simple time series. We develop two Bayesian approaches for segmenting a...
The kindest cut: minimum message length segmentation (1996)
Rohan A. Baxter, Jonathan J. Oliver
We consider some particular instances of the segmentation problem. We derive minimum message length (MML) expressions for stating the region boundaries for some one and two dimensional examples. It...
Bayesian estimation of the Von Mises concentration parameter (1996)
David L. Dowe, Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
ABSTRACT. The von Mises distribution is a maximum entropy distribution. It corresponds to the distribution of an angle of a compass needle in a uniform magnetic field of direction, , with...
Unsupervised Learning Using MML (1996)
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
This paper discusses the unsupervised learning problem. An important part of the unsupervised learning problem is determining the number of constituent groups (components or classes) which best...
The Kindest Cut: Minimum Message Length Segmentation (1996)
Rohan Baxter, Jonathan J. Oliver
We consider some particular instances of the segmentation problem. We derive minimum message length (MML) expressions for stating the region boundaries for some one and two dimensional examples. It...
Finding overlapping distributions with MML (1995)
Rohan A. Baxter, Jonathan J. Oliver
Abstract: This paper considers an aspect of mixture modelling. Significantly overlapping distributions require more data for their parameters to be accurately estimated than well separated...
Rohan A. Baxter, Jonathan J. Oliver
This paper continues the introduction to minimum encoding inductive inference given by Oliver and Hand. This series of papers was written with the objective of providing an introduction to this area...
Finding Overlapping Distributions with MML (1995)
Rohan A. Baxter, Jonathan J. Oliver
: This paper considers an aspect of mixture modelling. Significantly overlapping distributions require more data for their parameters to be accurately estimated than well separated distributions. For...
On Pruning and Averaging Decision Trees (1995)
Jonathan J. Oliver, David J. Hand
Pruning a decision tree is considered by some researchers to be the most important part of tree building in noisy domains. While, there are many approaches to pruning, an alternative approach of...
MML and Bayesianism: Similarities and Differences (Introduction to Minimum. . .) (1994)
: This paper continues the introduction to minimum encoding inference given by Oliver and Hand. This series of papers were written with the objective of providing an introduction to this area for...
Introduction to Minimum Encoding Inference (1994)
: This paper examines the minimumencoding approaches to inference, Minimum Message Length (MML) and Minimum Description Length (MDL). This paper was written with the objective of providing an...
Decision Graphs - An Extension of Decision Trees (1993)
: In this paper, we examine Decision Graphs, a generalization of decision trees. We present an inference scheme to construct decision graphs using the Minimum Message Length Principle. Empirical...
Bayesian Estimation Of The von Mises Concentration Parameter
David L. Dowe, Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wallace
. The von Mises distribution is a maximum entropy distribution. It corresponds to the distribution of an angle of a compass needle in a uniform magnetic field of direction, ¯, with concentration...