David L. Dowe

发表

Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test

José Hernández-Orallo, Javier Insa-Cabrera, David L. Dowe, 2011, CAEPIA.

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence

David L. Dowe, D. Dowe, 2013, Lecture Notes in Computer Science.

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

David L. Dowe, Peter J. Tan, D. Dowe, 2002, Australian Conference on Artificial Intelligence.

Inductive Inference of Chess Player Strategy

David L. Dowe, Anthony R. Jansen, Graham E. Farr, 2000, PRICAI.

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.

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

Michael Brand, David L. Dowe, D. Dowe, 2016, J. Log. Comput..

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

David L. Dowe, Gerhard Visser, D. Dowe, 2007, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007).

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

David L. Dowe, Peter J. Tan, 2003, Australian Conference on Artificial Intelligence.

Bayes not Bust! Why Simplicity is no Problem for Bayesians1

David L. Dowe, Steve Gardner, Graham Oppy, 2007, The British Journal for the Philosophy of Science.

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 .

Observation, Communication and Intelligence in Agent-Based Systems

David G. Green, David L. Dowe, Yuan-Fang Li, 2015, AGI.

The ANYNT project intelligence test Λone

José Hernández-Orallo, Sergio España, Javier Insa-Cabrera, 2012 .

A Non-Behavioural, Computational Extension to the Turing Test

David L. Dowe, Alan Hájek, D. Dowe, 1998 .

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

David L. Dowe, David W. Albrecht, Lara Kornienko, 2002, Australian Joint Conference on Artificial Intelligence.

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

José Hernández-Orallo, Kristinn R. Thórisson, Fernando Martínez-Plumed, 2017, AI Mag..

Game theory and artificial intelligence in just preservation

David L. Dowe, Nader Chmait, 2020 .

Symmetrical Chess

John Roycroft, David L. Dowe, Ingo Althöfer, 1990, J. Int. Comput. Games Assoc..

Computer models solving intelligence test problems: Progress and implications

José Hernández-Orallo, Fernando Martínez-Plumed, David L. Dowe, 2016, Artif. Intell..

MML Estimation of the Parameters of the Sherical Fisher Distribution

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

MML Inference of Oblique Decision Trees

David L. Dowe, Peter J. Tan, D. Dowe, 2004, Australian Conference on Artificial Intelligence.

Can Black Force a Win?

David L. Dowe, 1990, J. Int. Comput. Games Assoc..

Minimum Message Length and Statistically Consistent Invariant (Objective?) Bayesian Probabilistic Inference—From (Medical) “Evidence”

David L. Dowe, D. Dowe, 2008 .

The Turing Test

David L. Dowe, Graham Oppy, D. Dowe, 2003 .

Inferring Phylogenetic Graphs for Natural Languages using MML

David L. Dowe, Jane Nee Ooi, D. Dowe, 2005 .

Single Factor Analysis in MML Mixture Modelling

David L. Dowe, Russell T. Edwards, D. Dowe, 1998, PAKDD.

Compression and Intelligence: Social Environments and Communication

José Hernández-Orallo, David L. Dowe, Paramjit K. Das, 2011, AGI.

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

Lloyd Allison, David L. Dowe, Glen Pringle, 1998, PAKDD.

Foreword re C. S. Wallace

David L. Dowe, D. Dowe, 2008, Comput. J..

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

David L. Dowe, Nayyar Abbas Zaidi, D. Dowe, 2010, Australasian Conference on Artificial Intelligence.

Introduction to Ray Solomonoff 85th Memorial Conference

David L. Dowe, D. Dowe, 2011, Algorithmic Probability and Friends.

Refinements of MDL and MML Coding

David L. Dowe, C. S. Wallace, Chris S. Wallace, 1999, Comput. J..

Clustering of Gaussian and t distributions using Minimum Message Length

David L. Dowe, Yudi Agusta, 2003 .

A computational extension to the Turing test

David L. Dowe, Alan Hájek, D. Dowe, 1997 .

Change-Point Estimation Using New Minimum Message Length Approximations

Lloyd Allison, David L. Dowe, Leigh J. Fitzgibbon, 2002, PRICAI.

General Bayesian networks and asymmetric languages

David L. Dowe, Joshua William Comley, 2003 .

How universal can an intelligence test be?

José Hernández-Orallo, David L. Dowe, J. Hernández-Orallo, 2014, Adapt. Behav..

Minimum Message Length Grouping of Ordered Data

Lloyd Allison, David L. Dowe, Leigh J. Fitzgibbon, 2000, ALT.

Decision Forests with Oblique Decision Trees

David L. Dowe, Peter J. Tan, D. Dowe, 2006, MICAI.

Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections

David L. Dowe, Imants D. Svalbe, Gerhard Visser, 2009, Australasian Conference on Artificial Intelligence.

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

David L. Dowe, C. S. Wallace, Chris S. Wallace, 2000, Stat. Comput..

Univariate Polynomial Inference by Monte Carlo Message Length Approximation

Lloyd Allison, David L. Dowe, Leigh J. Fitzgibbon, 2002, ICML.

Universal psychometrics: Measuring cognitive abilities in the machine kingdom

José Hernández-Orallo, David L. Dowe, M. Victoria Hernández-Lloreda, 2014, Cognitive Systems Research.

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

José Hernández-Orallo, Sergio España, Javier Insa-Cabrera, 2011, AGI.

Information Theoretic Approaches to Biology - Session Introduction

Klaus Prank, David L. Dowe, 1999, Pacific Symposium on Biocomputing.

Point Estimation Using the Kullback-Leibler Loss Function and MML

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

What is a Tall Poppy Among Web Pages?

Lloyd Allison, David L. Dowe, Glen Pringle, 1998, Comput. Networks.

MML Inference of Single-layer Neural Networks

Enes Makalic, David L. Dowe, Lloyd Allison, 2003 .

MML, hybrid Bayesian network graphical models, statistical consistency, invarianc

David L. Dowe, D. Dowe, 2010 .

The pervasive influence of Alan Turing's genius

David L. Dowe, 2012 .

Factors of Collective Intelligence: How Smart Are Agent Collectives?

David G. Green, Javier Insa-Cabrera, David L. Dowe, 2016, ECAI.

Minimum Message Length and Kolmogorov Complexity

David L. Dowe, C. S. Wallace, Chris S. Wallace, 1999, Comput. J..

MML inference of Finite State Automata for probabilistic spam detection

David L. Dowe, Sid Ray, Vidya Saikrishna, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

Turing machines and recursive Turing Tests

José Hernández-Orallo, Javier Insa-Cabrera, David L. Dowe, 2012 .

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

Michael Brand, David L. Dowe, D. Dowe, 2016, J. Log. Comput..

Vein segmentation using shape-based Markov Random Fields

Gary F. Egan, David L. Dowe, Phillip G. D. Ward, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Stock market simulation and inference technique

David L. Dowe, Leigh J. Fitzgibbon, McGregor J. Collie, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

Measuring universal intelligence: Towards an anytime intelligence test

José Hernández-Orallo, David L. Dowe, J. Hernández-Orallo, 2010, Artif. Intell..

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

David L. Dowe, Scott Needham, D. Dowe, 2001, International Conference on Artificial Intelligence and Statistics.

A computer program capable of passing I.Q. tests

David L. Dowe, Pritika Sanghi, D. Dowe, 2008 .

Statistical compression-based models for text classification

David L. Dowe, Sid Ray, Vidya Saikrishna, 2016, 2016 Fifth International Conference on Eco-friendly Computing and Communication Systems (ICECCS).

Learning a Generative Model for Structural Representations

Andrea Torsello, David L. Dowe, D. Dowe, 2008, Australasian Conference on Artificial Intelligence.

Inferring phylogenetic graphs of natural languages using minimum message length

David L. Dowe, Jane Nee Ooi, D. Dowe, 2005 .

Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study

David L. Dowe, Imants D. Svalbe, A. P. Dalgleish, 2007, Australian Conference on Artificial Intelligence.

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

David L. Dowe, Yudi Agusta, D. Dowe, 2002, Australian Joint Conference on Artificial Intelligence.

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

David L. Dowe, Yuan-Fang Li, Paramjit K. Das, 2014, Inf. Syst..

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

José Hernández-Orallo, Fernando Martínez-Plumed, David L. Dowe, 2017, IJCAI.

Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML

David L. Dowe, Yudi Agusta, D. Dowe, 2003, Australian Conference on Artificial Intelligence.

Comparing Humans and AI Agents

José Hernández-Orallo, Sergio España, Javier Insa-Cabrera, 2011, AGI.

On the universality of cognitive tests pdf

José Hernández-Orallo, David L. Dowe, J. Hernández-Orallo, 2013, ArXiv.

On Potential Cognitive Abilities in the Machine Kingdom

José Hernández-Orallo, David L. Dowe, J. Hernández-Orallo, 2013, Minds and Machines.

Discussion on hedging predictions in machine learning by A Gammerman and V Vovk

David L. Dowe, 2007 .

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

Trevor I. Dix, David L. Dowe, Peter J. Tan, 2007, Australian Conference on Artificial Intelligence.

Alignment of Low Information Sequences

Trevor I. Dix, Lloyd Allison, David L. Dowe, 1998, CATS.

Intrinsic classification by MML - the Snob program

David L. Dowe, Chris S. Wallace, 1994 .

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation

Kevin B. Korb, David L. Dowe, Chris S. Wallace, 1999, Australian Joint Conference on Artificial Intelligence.

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

Chung-Hsing Yeh, David L. Dowe, Yang Duan, 2018, ICONIP.

3D EEG Source Localisation: A Preliminary Investigation Using MML

David L. Dowe, Thi Han Kyaw, 2013, Australasian Conference on Artificial Intelligence.

Trading Rule Search with Autoregressive Inference Agents

David L. Dowe, Leigh J. Fitzgibbon, McGregor J. Collie, 2005 .

Turing Tests with Turing Machines

José Hernández-Orallo, Javier Insa-Cabrera, David L. Dowe, 2012, Turing-100.

Enhancing MML Clustering Using Context Data with Climate Applications

David L. Dowe, Gerhard Visser, Petteri Uotila, 2009, Australasian Conference on Artificial Intelligence.

A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes

David L. Dowe, David W. Albrecht, Lara Kornienko, 2005, Australian Conference on Artificial Intelligence.

Supervised learning of a generative model for edge-weighted graphs

Andrea Torsello, David L. Dowe, 2008, 2008 19th International Conference on Pattern Recognition.

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

David L. Dowe, Peter J. Tan, J. G. Sanjayan, 2006, Australian Conference on Artificial Intelligence.

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

Chung-Hsing Yeh, David L. Dowe, Yang Duan, 2021, HICSS.

Minimum Message Length Autoregressive Moving Average Model Order Selection pdf

David L. Dowe, Dedi Rosadi, Shelton Peiris, 2021, ArXiv.

Creating Powerful and Interpretable Models withRegression Networks pdf

David L. Dowe, Nader Chmait, Lachlan O'Neill, 2021, ArXiv.

Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting

David L. Dowe, Dedi Rosadi, Shelton Peiris, 2021, Entropy.

Regional variations in cerebral venous contrast using susceptibility-based MRI

Gary F. Egan, David L. Dowe, Phillip G. D. Ward, 2017 .

Universal Bayesian inference

David L. Dowe, Graham Oppy, 2001 .

Kinship, optimality, and typology

David L. Dowe, Simon Musgrave, 2010, Behavioral and Brain Sciences.

Venous metrics in a large cohort of healthy elderly individuals from susceptibility-weighted images and quantitative susceptibility maps

Gary F. Egan, David L. Dowe, Phillip G. D. Ward, 2016 .

Complexity and information-theoretic approaches to biology

David L. Dowe, Klaus Prank, 1997 .

On interaction complexity , ( space-time ) resolution and intelligence

José Hernández-Orallo, David L. Dowe, J. Hernández-Orallo, 2012 .

Venous segmentation using Gaussian mixture models and Markov random fields

Gary F. Egan, David L. Dowe, Phillip G. D. Ward, 2015 .

A Dynamic Intelligence Test Framework for Evaluating AI Agents

David L. Dowe, Yuan-Fang Li, Nader Chmait, 2016 .

Improved Quantification of Cerebral Vein Oxygenation Using Partial Volume Correction

Gary F. Egan, David L. Dowe, Phillip G. D. Ward, 2017, Front. Neurosci..

Bayesian posterior comprehension via Message from Monte Carlo

Lloyd Allison, David L. Dowe, Leigh J. Fitzgibbon, 2003 .

Measuring Cognitive Abilities of Machines , Humans and Non-Human Animals in a Unified Way : towards Universal Psychometrics

José Hernández-Orallo, David L. Dowe, M. Victoria Hernández-Lloreda, 2012 .