AISTATS A

47 papers

YearTitle / Authors
2001A Kernel Approach for Vector Quantization with Guaranteed Distortion Bounds.
Michael E. Tipping, Bernhard Schölkopf
2001A Non-Parametric EM-Style Algorithm for Imputing Missing Values.
Rich Caruana
2001A Random Walks View of Spectral Segmentation.
Marina Meila, Jianbo Shi
2001A Simulation Study of Three Related Causal Data Mining Algorithms.
Subramani Mani, Gregory F. Cooper
2001An Anytime Algorithm for Causal Inference.
Peter Spirtes
2001An improved training algorithm for kernel Fisher discriminants.
Sebastian Mika, Alexander J. Smola, Bernhard Schölkopf
2001Another look at sensitivity of Bayesian networks to imprecise probabilities.
Oscar Kipersztok, Haiqin Wang
2001Are they really neighbors? A statistical analysis of the SOM algorithm output.
Eric de Bodt, Marie Cottrell, Michel Verleysen
2001Bagging and the Bayesian Bootstrap.
Merlise A. Clyde, Herbert K. H. Lee
2001Bayesian Support Vector Regression.
Martin H. C. Law, James Tin-Yau Kwok
2001Can the Computer Learn to Play Music Expressively?.
Christopher Raphael
2001Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models.
Petri Kontkanen, Petri Myllymäki, Henry Tirri
2001Discriminant Analysis on Dissimilarity Data : a New Fast Gaussian like Algorithm.
Anne Guérin-Dugué, Gilles Celeux
2001Dual perturb and combine algorithm.
Pierre Geurts
2001Dynamic Positional Trees for Structural Image Analysis.
Amos J. Storkey, Christopher K. I. Williams
2001Finding a path is harder than finding a tree.
Christopher Meek
2001Geographical clustering of cancer incidence by means of Bayesian networks and conditional Gaussian networks.
José M. Peña, I. Izarzugaza, José Antonio Lozano, E. Aldasoro, Pedro Larrañaga
2001Handling Missing and Unreliable Information in Speech Recognition.
Phil D. Green, Jon Barker, Martin Cooke, Ljubomir Josifovski
2001Hyperparameters for Soft Bayesian Model Selection.
Adrian Corduneanu, Christopher M. Bishop
2001Information-Theoretic Advisors in Invisible Chess.
Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman
2001Is regularization unnecessary for boosting?.
Wenxin Jiang
2001Learning Bayesian networks with mixed variables.
Susanne Bottcher
2001Learning in high dimensions: modular mixture models.
Hagai Attias
2001Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching.
Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2001Managing Multiple Models.
Hugh A. Chipman, Edward I. George, Robert E. McCulloch
2001Message Length as an Effective Ockham's Razor in Decision Tree Induction.
Scott Needham, David L. Dowe
2001Models for Conditional Probability Tables in Educational Assessment.
Russell G. Almond, Lou DiBello, Frank Jenkins, Deniz Senturk, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan
2001Monte-Carlo Algorithms for the Improvement of Finite-State Stochastic Controllers: Application to Bayes-Adaptive Markov Decision Processes.
Michael O. Duff
2001On Parameter Priors for Discrete DAG Models.
Dmitry Rusakov, Dan Geiger
2001On searching for optimal classifiers among Bayesian networks.
Robert G. Cowell
2001On the effectiveness of the skew divergence for statistical language analysis.
Lillian Lee
2001Online Bagging and Boosting.
Nikunj C. Oza, Stuart Russell
2001Piecewise Linear Instrumental Variable Estimation of Causal Influence.
Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu
2001Predicting with Variables Constructed from Temporal Sequences.
Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont
2001Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, AISTATS 2001, Key West, Florida, USA, January 4-7, 2001
Thomas S. Richardson, Tommi S. Jaakkola
2001Products of Hidden Markov Models.
Andrew D. Brown, Geoffrey E. Hinton
2001Profile Likelihood in Directed Graphical Models from BUGS Output.
Malene Højbjerre
2001Solving Hidden-Mode Markov Decision Problems.
Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung
2001Some variations on variation independence..
A. Philip Dawid
2001Statistical Aspects of Stochastic Logic Programs.
James Cussens
2001Stochastic System Monitoring and Control.
Gregory M. Provan
2001Temporal Matching under Uncertainty.
Ahmed Y. Tawfik, Greg Scott
2001The Efficient Propagation of Arbitrary Subsets of Beliefs in Discrete-Valued Bayesian Networks.
Duncan Smith
2001The Learning Curve Method Applied to Clustering.
Christopher Meek, Bo Thiesson, David Heckerman
2001Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets.
Adam Nickerson, Nathalie Japkowicz, Evangelos E. Milios
2001Variational Learning for Multi-Layer Networks of Linear Threshold Units.
Neil D. Lawrence
2001Why averaging classifiers can protect against overfitting.
Yoav Freund, Yishay Mansour, Robert E. Schapire