David L. Dowe

According to our database, David L. Dowe authored at least 68 papers between 1990 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting.

Zheng Fang, David L. Dowe, Shelton Peiris, Dedi Rosadi

Entropy, 2021

Minimum Message Length Autoregressive Moving Average Model Order Selection.

Zheng Fang, David L. Dowe, Shelton Peiris, Dedi Rosadi

CoRR, 2021

Creating Powerful and Interpretable Models withRegression Networks.

Lachlan O'Neill, Simon D. Angus, Satya Borgohain, Nader Chmait, David L. Dowe

CoRR, 2021

Accounting method selection using neural networks and multi-criteria decision making.

Yang Duan, Chung-Hsing Yeh, David L. Dowe

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2019

Peak-Hour Rail Demand Shifting with Discrete Optimisation.

John M. Betts, David L. Dowe, Daniel Guimarans, Daniel Damir Harabor, Heshan Kumarage, Peter J. Stuckey, Michael Wybrow

Proceedings of the Principles and Practice of Constraint Programming, 2019

2018

Combining images and anatomical knowledge to improve automated vein segmentation in MRI.

Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, David L. Dowe, Amanda C. L. Ng, David G. Barnes, Gary F. Egan

NeuroImage, 2018

Accounting Results Modelling with Neural Networks: The Case of an International Oil and Gas Company.

Yang Duan, Chung-Hsing Yeh, David L. Dowe

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

The IMP game: Learnability, approximability and adversarial learning beyond $$\Sigma^0_1$$.

Michael Brand, David L. Dowe

J. Log. Comput., 2017

A New AI Evaluation Cosmos: Ready to Play the Game?

José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson

AI Mag., 2017

Vein segmentation using shape-based Markov Random Fields.

Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, Amanda C. L. Ng, David G. Barnes, David L. Dowe, Gary F. Egan

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract).

José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics.

Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green

Proceedings of the Artificial General Intelligence - 10th International Conference, 2017

2016

The IMP game: Learnability, approximability and adversarial learning beyond $Σ^0_1$.

Michael Brand, David L. Dowe

CoRR, 2016

Computer models solving intelligence test problems: Progress and implications.

José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe

Artif. Intell., 2016

Factors of Collective Intelligence: How Smart Are Agent Collectives?

Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, Javier Insa-Cabrera

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

MML inference of Finite State Automata for probabilistic spam detection.

Vidya Saikrishna, David L. Dowe, Sid Ray

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Observation, Communication and Intelligence in Agent-Based Systems.

Nader Chmait, David L. Dowe, David G. Green, Yuan-Fang Li

Proceedings of the Artificial General Intelligence, 2015

2014

Two decades of Web application testing - A survey of recent advances.

Yuan-Fang Li, Paramjit K. Das, David L. Dowe

Inf. Syst., 2014

Universal psychometrics: Measuring cognitive abilities in the machine kingdom.

José Hernández-Orallo, David L. Dowe, M. Victoria Hernández-Lloreda

Cogn. Syst. Res., 2014

How universal can an intelligence test be?

David L. Dowe, José Hernández-Orallo

Adapt. Behav., 2014

2013

On Potential Cognitive Abilities in the Machine Kingdom.

José Hernández-Orallo, David L. Dowe

Minds Mach., 2013

On the universality of cognitive tests

David L. Dowe, José Hernández-Orallo

CoRR, 2013

3D EEG Source Localisation: A Preliminary Investigation Using MML.

Thi Han Kyaw, David L. Dowe

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012

Turing Tests with Turing Machines.

José Hernández-Orallo, Javier Insa-Cabrera, David L. Dowe, Bill Hibbard

Proceedings of the Turing-100, 2012

2011

Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test.

Javier Insa-Cabrera, David L. Dowe, José Hernández-Orallo

Proceedings of the Advances in Artificial Intelligence, 2011

Introduction to Ray Solomonoff 85th Memorial Conference.

David L. Dowe

Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

Comparing Humans and AI Agents.

Javier Insa-Cabrera, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, José Hernández-Orallo

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence.

José Hernández-Orallo, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, Javier Insa-Cabrera

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Compression and Intelligence: Social Environments and Communication.

David L. Dowe, José Hernández-Orallo, Paramjit K. Das

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010

Measuring universal intelligence: Towards an anytime intelligence test.

José Hernández-Orallo, David L. Dowe

Artif. Intell., 2010

Database Normalization as a By-product of Minimum Message Length Inference.

David L. Dowe, Nayyar Abbas Zaidi

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009

Enhancing MML Clustering Using Context Data with Climate Applications.

Gerhard Visser, David L. Dowe, Petteri Uotila

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections.

Gerhard Visser, David L. Dowe, Imants D. Svalbe

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

Foreword re C. S. Wallace.

David L. Dowe

Comput. J., 2008

Supervised learning of a generative model for edge-weighted graphs.

Andrea Torsello, David L. Dowe

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Learning a Generative Model for Structural Representations.

Andrea Torsello, David L. Dowe

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

Building Classification Models from Microarray Data with Tree-Based Classification Algorithms.

Peter J. Tan, David L. Dowe, Trevor I. Dix

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study.

A. P. Dalgleish, David L. Dowe, Imants D. Svalbe

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties.

Gerhard Visser, David L. Dowe

Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006

Decision Forests with Oblique Decision Trees.

Peter J. Tan, David L. Dowe

Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

MML Mixture Models of Heterogeneous Poisson Processes with Uniform Outliers for Bridge Deterioration.

T. Maheswaran, J. G. Sanjayan, David L. Dowe, Peter J. Tan

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Stock Market Simulation and Inference Technique.

McGregor J. Collie, David L. Dowe, Leigh J. Fitzgibbon

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes.

Lara Kornienko, David W. Albrecht, David L. Dowe

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

MML Inference of Oblique Decision Trees.

Peter J. Tan, David L. Dowe

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes.

Peter J. Tan, David L. Dowe

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML.

Yudi Agusta, David L. Dowe

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

Change-Point Estimation Using New Minimum Message Length Approximations.

Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Univariate Polynomial Inference by Monte Carlo Message Length Approximation.

Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison

Proceedings of the Machine Learning, 2002

MML Inference of Decision Graphs with Multi-way Joins.

Peter J. Tan, David L. Dowe

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme.

Lara Kornienko, David L. Dowe, David W. Albrecht

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions.

Yudi Agusta, David L. Dowe

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Message Length as an Effective Ockham's Razor in Decision Tree Induction.

Scott Needham, David L. Dowe

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions.

Chris S. Wallace, David L. Dowe

Stat. Comput., 2000

Inductive Inference of Chess Player Strategy.

Anthony R. Jansen, David L. Dowe, Graham E. Farr

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

Minimum Message Length Grouping of Ordered Data.

Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe

Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999

Rejoinder.

Chris S. Wallace, David L. Dowe

Comput. J., 1999

Refinements of MDL and MML Coding.

Chris S. Wallace, David L. Dowe

Comput. J., 1999

Minimum Message Length and Kolmogorov Complexity.

Chris S. Wallace, David L. Dowe

Comput. J., 1999

Information Theoretic Approaches to Biology - Session Introduction.

David L. Dowe, Klaus Prank

Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.

Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998

What is a Tall Poppy Among Web Pages?

Glen Pringle, Lloyd Allison, David L. Dowe

Comput. Networks, 1998

Single Factor Analysis in MML Mixture Modelling.

Russell T. Edwards, David L. Dowe

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Point Estimation Using the Kullback-Leibler Loss Function and MML.

David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines.

David L. Dowe, Lloyd Allison, Glen Pringle

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Alignment of Low Information Sequences.

David R. Powell, Lloyd Allison, Trevor I. Dix, David L. Dowe

Proceedings of Computing: The Fourth Australasian Theory Symposium (CATS'98), 1998

1996

MML Estimation of the Parameters of the Sherical Fisher Distribution.

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

Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

1990

Symmetrical Chess.

David L. Dowe, Ingo Althöfer, John Roycroft

J. Int. Comput. Games Assoc., 1990

Can Black Force a Win?

David L. Dowe

J. Int. Comput. Games Assoc., 1990