David L. Dowe

Publication Activity (10 Years)

Years Active: 1990-2021
Publications (10 Years): 17

Top Topics

Iterated Conditional Modes

Cognitive Abilities

Minimum Message Length

Top Venues

Publications

Zheng Fang, David L. Dowe, Shelton Peiris, Dedi Rosadi
Minimum Message Length Autoregressive Moving Average Model Order Selection. CoRR (2021)
Yang Duan, Chung-Hsing Yeh, David L. Dowe
Accounting method selection using neural networks and multi-criteria decision making. HICSS (2021)
Lachlan O'Neill, Simon Angus, Satya Borgohain, Nader Chmait, David L. Dowe
Creating Powerful and Interpretable Models withRegression Networks. CoRR (2021)
Zheng Fang, David L. Dowe, Shelton Peiris, Dedi Rosadi
Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting. Entropy 23 (12) (2021)
John M. Betts, David L. Dowe, Daniel Guimarans, Daniel Damir Harabor, Heshan Kumarage, Peter J. Stuckey, Michael Wybrow
Peak-Hour Rail Demand Shifting with Discrete Optimisation. CP (2019)
Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, David L. Dowe, Amanda C. L. Ng, David G. Barnes, Gary F. Egan
Combining images and anatomical knowledge to improve automated vein segmentation in MRI. NeuroImage 165 (2018)
Yang Duan, Chung-Hsing Yeh, David L. Dowe
Accounting Results Modelling with Neural Networks: The Case of an International Oil and Gas Company. ICONIP (2) (2018)
Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green
An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics. AGI (2017)
José Hernández-Orallo, Marco Baroni, Jordi Bieger, Nader Chmait, David L. Dowe, Katja Hofmann, Fernando Martínez-Plumed, Claes Strannegård, Kristinn R. Thórisson
A New AI Evaluation Cosmos: Ready to Play the Game? AI Mag. 38 (3) (2017)
Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, Amanda C. L. Ng, David G. Barnes, David L. Dowe, Gary F. Egan
Vein segmentation using shape-based Markov Random Fields. ISBI (2017)
Michael Brand, David L. Dowe
The IMP game: Learnability, approximability and adversarial learning beyond $$\Sigma^0_1$$. J. Log. Comput. 27 (7) (2017)
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract). IJCAI (2017)
Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, Javier Insa-Cabrera
Factors of Collective Intelligence: How Smart Are Agent Collectives? ECAI (2016)
José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
Computer models solving intelligence test problems: Progress and implications. Artif. Intell. 230 (2016)
Michael Brand, David L. Dowe
The IMP game: Learnability, approximability and adversarial learning beyond $Σ^0_1$. CoRR (2016)
Vidya Saikrishna, David L. Dowe, Sid Ray
MML inference of Finite State Automata for probabilistic spam detection. ICAPR (2015)
Nader Chmait, David L. Dowe, David G. Green, Yuan-Fang Li
Observation, Communication and Intelligence in Agent-Based Systems. AGI (2015)
David L. Dowe, José Hernández-Orallo
How universal can an intelligence test be? Adapt. Behav. 22 (1) (2014)
Yuan-Fang Li, Paramjit K. Das, David L. Dowe
Two decades of Web application testing - A survey of recent advances. Inf. Syst. 43 (2014)
José Hernández-Orallo, David L. Dowe, M. Victoria Hernández-Lloreda
Universal psychometrics: Measuring cognitive abilities in the machine kingdom. Cogn. Syst. Res. 27 (2014)
David L. Dowe, José Hernández-Orallo
On the universality of cognitive tests CoRR (2013)
Thi Han Kyaw, David L. Dowe
3D EEG Source Localisation: A Preliminary Investigation Using MML. Australasian Conference on Artificial Intelligence (2013)
José Hernández-Orallo, David L. Dowe
On Potential Cognitive Abilities in the Machine Kingdom. Minds Mach. 23 (2) (2013)
José Hernández-Orallo, Javier Insa-Cabrera, David L. Dowe, Bill Hibbard
Turing Tests with Turing Machines. Turing-100 (2012)
Javier Insa-Cabrera, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, José Hernández-Orallo
Comparing Humans and AI Agents. AGI (2011)
David L. Dowe
Introduction to Ray Solomonoff 85th Memorial Conference. Algorithmic Probability and Friends (2011)
Javier Insa-Cabrera, David L. Dowe, José Hernández-Orallo
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test. CAEPIA (2011)
José Hernández-Orallo, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, Javier Insa-Cabrera
On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence. AGI (2011)
David L. Dowe, José Hernández-Orallo, Paramjit K. Das
Compression and Intelligence: Social Environments and Communication. AGI (2011)
José Hernández-Orallo, David L. Dowe
Measuring universal intelligence: Towards an anytime intelligence test. Artif. Intell. 174 (18) (2010)
David L. Dowe, Nayyar Abbas Zaidi
Database Normalization as a By-product of Minimum Message Length Inference. Australasian Conference on Artificial Intelligence (2010)
Gerhard Visser, David L. Dowe, Petteri Uotila
Enhancing MML Clustering Using Context Data with Climate Applications. Australasian Conference on Artificial Intelligence (2009)
Gerhard Visser, David L. Dowe, Imants D. Svalbe
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections. Australasian Conference on Artificial Intelligence (2009)
Andrea Torsello, David L. Dowe
Learning a Generative Model for Structural Representations. Australasian Conference on Artificial Intelligence (2008)
Andrea Torsello, David L. Dowe
Supervised learning of a generative model for edge-weighted graphs. ICPR (2008)
David L. Dowe
Foreword re C. S. Wallace. Comput. J. 51 (5) (2008)
Gerhard Visser, David L. Dowe
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties. ACIS-ICIS (2007)
A. P. Dalgleish, David L. Dowe, Imants D. Svalbe
Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study. Australian Conference on Artificial Intelligence (2007)
Peter J. Tan, David L. Dowe, Trevor I. Dix
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms. Australian Conference on Artificial Intelligence (2007)
T. Maheswaran, J. G. Sanjayan, David L. Dowe, Peter J. Tan
MML Mixture Models of Heterogeneous Poisson Processes with Uniform Outliers for Bridge Deterioration. Australian Conference on Artificial Intelligence (2006)
Peter J. Tan, David L. Dowe
Decision Forests with Oblique Decision Trees. MICAI (2006)
McGregor J. Collie, David L. Dowe, Leigh J. Fitzgibbon
Stock Market Simulation and Inference Technique. HIS (2005)
Lara Kornienko, David W. Albrecht, David L. Dowe
A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes. Australian Conference on Artificial Intelligence (2005)
Peter J. Tan, David L. Dowe
MML Inference of Oblique Decision Trees. Australian Conference on Artificial Intelligence (2004)
Yudi Agusta, David L. Dowe
Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML. Australian Conference on Artificial Intelligence (2003)
Peter J. Tan, David L. Dowe
MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. Australian Conference on Artificial Intelligence (2003)
Lara Kornienko, David L. Dowe, David W. Albrecht
Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme. Australian Joint Conference on Artificial Intelligence (2002)
Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
Univariate Polynomial Inference by Monte Carlo Message Length Approximation. ICML (2002)
Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
Change-Point Estimation Using New Minimum Message Length Approximations. PRICAI (2002)
Yudi Agusta, David L. Dowe
MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions. Australian Joint Conference on Artificial Intelligence (2002)
Peter J. Tan, David L. Dowe
MML Inference of Decision Graphs with Multi-way Joins. Australian Joint Conference on Artificial Intelligence (2002)
Scott Needham, David L. Dowe
Message Length as an Effective Ockham's Razor in Decision Tree Induction. AISTATS (2001)
Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe
Minimum Message Length Grouping of Ordered Data. ALT (2000)
Chris S. Wallace, David L. Dowe
MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions. Stat. Comput. 10 (1) (2000)
Anthony R. Jansen, David L. Dowe, Graham E. Farr
Inductive Inference of Chess Player Strategy. PRICAI (2000)
David L. Dowe, Klaus Prank
Information Theoretic Approaches to Biology - Session Introduction. Pacific Symposium on Biocomputing (1999)
Chris S. Wallace, David L. Dowe
Minimum Message Length and Kolmogorov Complexity. Comput. J. 42 (4) (1999)
Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb
Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation. Australian Joint Conference on Artificial Intelligence (1999)
Chris S. Wallace, David L. Dowe
Rejoinder. Comput. J. 42 (4) (1999)
Chris S. Wallace, David L. Dowe
Refinements of MDL and MML Coding. Comput. J. 42 (4) (1999)
Glen Pringle, Lloyd Allison, David L. Dowe
What is a Tall Poppy Among Web Pages? Comput. Networks 30 (1-7) (1998)
David L. Dowe, Lloyd Allison, Glen Pringle
The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines. PAKDD (1998)
David L. Dowe, Rohan A. Baxter, Jonathan J. Oliver, Chris S. Wallace
Point Estimation Using the Kullback-Leibler Loss Function and MML. PAKDD (1998)
Russell T. Edwards, David L. Dowe
Single Factor Analysis in MML Mixture Modelling. PAKDD (1998)
David R. Powell, Lloyd Allison, Trevor I. Dix, David L. Dowe
Alignment of Low Information Sequences. CATS (1998)
David L. Dowe, Jonathan J. Oliver, Chris S. Wallace
MML Estimation of the Parameters of the Sherical Fisher Distribution. ALT (1996)
David L. Dowe, Ingo Althöfer, John Roycroft
Symmetrical Chess. J. Int. Comput. Games Assoc. 13 (4) (1990)
David L. Dowe
Can Black Force a Win? J. Int. Comput. Games Assoc. 13 (3) (1990)