Jonathan J. Oliver

发表

C. S. Wallace, Chris S. Wallace, Jonathan J. Oliver, 1998, PAKDD.

A decision graph explanation of protein secondary structure prediction

David L. Dowe, C. S. Wallace, Lloyd Allison, 1993, [1993] Proceedings of the Twenty-sixth Hawaii International Conference on System Sciences.

Information, statistics and induction in science : proceedings of the conference, ISIS '96 : Melbourne, Australia, 20-23 August 1996

David L. Dowe, Jonathan J. Oliver, Kevin B. Korb, 1996 .

DISSOLVE: A System for the Generation of Human Oriented Solutions to Algebraic Equations

Ingrid Zukerman, Jonathan J. Oliver, 1988, Australian Joint Conference on Artificial Intelligence.

Automaton inference using the MML principle PART II - MML measure development

Jonathan J. Oliver, Matthew S. Collins, 1997 .

Unsupervised Learning Using MML

C. S. Wallace, Chris S. Wallace, Jonathan J. Oliver, 1996, ICML.

Decision Graphs - An Extension of Decision Trees

Jonathan J. Oliver, 1993 .

MML Estimation of the Parameters of the Sherical Fisher Distribution

David L. Dowe, C. S. Wallace, Chris S. Wallace, 1996, ALT.

Finding overlapping distributions with MML

Jonathan J. Oliver, Rohan A. Baxter, R. Baxter, 1997 .

Introduction to Minimum Encoding Inference

Jonathan J. Oliver, 1994 .

On Pruning and Averaging Decision Trees

David J. Hand, Jonathan J. Oliver, D. Hand, 1995, ICML.

Lexical Access using Minimum Message Length Encoding

Ingrid Zukerman, Bhavani Raskutti, Jonathan J. Oliver, 1996, PRICAI.

Anatomy of a Phishing Email

Jonathan J. Oliver, Christine E. Drake, Eugene J. Koontz, 2004, CEAS.

Point Estimation Using the Kullback-Leibler Loss Function and MML

David L. Dowe, Chris S. Wallace, Jonathan J. Oliver, 1998, PAKDD.

Analysing Rock Samples for the Mars Lander

Wray L. Buntine, Jonathan J. Oliver, Rohan A. Baxter, 1998, KDD.

Analysis of the Phishing Email Problem and Discussion of Possible Solutions

Jonathan J. Oliver, Andrew Klein, Christine E. Drake, 2005, WOSIS.

The Kindest Cut: Minimum Message Length Segmentation

Jonathan J. Oliver, Rohan A. Baxter, 1996, ALT.

A Bayesian analysis of the doomsday argument

Jonathan J. Oliver, Kevin B. Korb, 1997 .

Discriminant analysis when the classes arise from a continuum

David J. Hand, Jonathan J. Oliver, A. D. Lunn, 1998, Pattern Recognit..

Efficient Induction of Finite State Automata pdf

Jonathan J. Oliver, Matthew S. Collins, 1997, UAI.

Jonathan J. Oliver, Rohan A. Baxter, R. Baxter, 1994 .

Lexical Access for Speech Understanding using Minimum Message Length Encoding pdf

Ingrid Zukerman, David W. Albrecht, Bhavani Raskutti, 1997, UAI.

Point Estimation using the Kullback-Leibler Loss Function and Minimum Message Length

C. S. Wallace, Chris S. Wallace, Jonathan J. Oliver, 1998 .

Finding overlapping components with MML

Jonathan J. Oliver, Rohan A. Baxter, 2000, Stat. Comput..

Bayesian Approaches to Segmenting A Simple Time Series

Jonathan J. Oliver, Catherine S. Forbes, Catherine S. Forbes, 1997 .

Detection de messages frauduleux

Jonathan J. Oliver, Bryan Kim, Scott D. Eikenberry, 2004 .

Averaging Over Decision Stumps

David J. Hand, Jonathan J. Oliver, D. Hand, 1994, ECML.

Bayesian Estimation of the Von Mises Concentration Parameter

C. S. Wallace, Jonathan J. Oliver, D. Dowe, 1996 .

Averaging over decision trees

Jonathan J. Oliver, D. Hand, 1996 .

BAYESIAN ESTIMATION OF THE VON MISES CONCENTRATIONPARAMETERDavid

C. S. Wallace, Chris S. Wallace, Jonathan J. Oliver, 2007 .

A Minimum Message Length Evaluation Metric for Lexical Access inSpeech

Jonathan J. Oliver, UnderstandingIan, Thomas, 2007 .

Using Mixtures of Experts on the GlucoWatch ( R ) Biographer

Jonathan J. Oliver, S. R. Waterhouse, R. Kurnik, 1999 .

A refutation of the doomsday argument

Jonathan J. Oliver, K. Korb, 1998 .