Abstract is missing.
- Managing Multiple ModelsHugh A. Chipman, Edward I. George, Robert E. McCulloch. [doi]
- Solving Hidden-Mode Markov Decision ProblemsSamuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung. [doi]
- Stochastic System Monitoring and ControlGregory M. Provan. [doi]
- A Non-Parametric EM-Style Algorithm for Imputing Missing ValuesRich Caruana. [doi]
- Can the Computer Learn to Play Music Expressively?Christopher Raphael. [doi]
- On the effectiveness of the skew divergence for statistical language analysisLillian Lee. [doi]
- Is regularization unnecessary for boosting?Wenxin Jiang. [doi]
- Learning Bayesian networks with mixed variablesSusanne Bottcher. [doi]
- Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture ModelsPetri Kontkanen, Petri Myllymäki, Henry Tirri. [doi]
- Using Unsupervised Learning to Guide Resampling in Imbalanced Data SetsAdam Nickerson, Nathalie Japkowicz, Evangelos E. Milios. [doi]
- Information-Theoretic Advisors in Invisible ChessAriel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman. [doi]
- Dual perturb and combine algorithmPierre Geurts. [doi]
- Statistical Aspects of Stochastic Logic ProgramsJames Cussens. [doi]
- Learning in high dimensions: modular mixture modelsHagai Attias. [doi]
- Monte-Carlo Algorithms for the Improvement of Finite-State Stochastic Controllers: Application to Bayes-Adaptive Markov Decision ProcessesMichael O. Duff. [doi]
- Are they really neighbors? A statistical analysis of the SOM algorithm outputEric de Bodt, Marie Cottrell, Michel Verleysen. [doi]
- Geographical clustering of cancer incidence by means of Bayesian networks and conditional Gaussian networksJosé Manuel Peña, I. Izarzugaza, José Antonio Lozano, E. Aldasoro, Pedro Larrañaga. [doi]
- Another look at sensitivity of Bayesian networks to imprecise probabilitiesOscar Kipersztok, Haiqin Wang. [doi]
- On Parameter Priors for Discrete DAG ModelsDmitry Rusakov, Dan Geiger. [doi]
- Profile Likelihood in Directed Graphical Models from BUGS OutputMalene Højbjerre. [doi]
- The Efficient Propagation of Arbitrary Subsets of Beliefs in Discrete-Valued Bayesian NetworksDuncan Smith. [doi]
- Products of Hidden Markov ModelsAndrew D. Brown, Geoffrey E. Hinton. [doi]
- Piecewise Linear Instrumental Variable Estimation of Causal InfluenceRichard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu. [doi]
- Hyperparameters for Soft Bayesian Model SelectionAdrian Corduneanu, Christopher M. Bishop. [doi]
- The Learning Curve Method Applied to ClusteringChristopher Meek, Bo Thiesson, David Heckerman. [doi]
- Dynamic Positional Trees for Structural Image AnalysisAmos J. Storkey, Christopher K. I. Williams. [doi]
- Why averaging classifiers can protect against overfittingYoav Freund, Yishay Mansour, Robert E. Schapire. [doi]
- Learning mixtures of smooth, nonuniform deformation models for probabilistic image matchingNebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman. [doi]
- Message Length as an Effective Ockham's Razor in Decision Tree InductionScott Needham, David L. Dowe. [doi]
- Some variations on variation independence.A. P. Dawid. [doi]
- Temporal Matching under UncertaintyAhmed Y. Tawfik, Greg Scott. [doi]
- Models for Conditional Probability Tables in Educational AssessmentRussell G. Almond, Lou DiBello, Frank Jenkins, Deniz Senturk, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan. [doi]
- Predicting with Variables Constructed from Temporal SequencesMehmet Kayaalp, Gregory F. Cooper, Gilles Clermont. [doi]
- Variational Learning for Multi-Layer Networks of Linear Threshold UnitsNeil D. Lawrence. [doi]
- Bayesian Support Vector RegressionMartin H. C. Law, James Tin-Yau Kwok. [doi]
- Finding a path is harder than finding a treeChristopher Meek. [doi]
- A Simulation Study of Three Related Causal Data Mining AlgorithmsSubramani Mani, Gregory F. Cooper. [doi]
- Discriminant Analysis on Dissimilarity Data : a New Fast Gaussian like AlgorithmAnne Guérin-Dugué, Gilles Celeux. [doi]
- A Random Walks View of Spectral SegmentationMarina Meila, Jianbo Shi. [doi]
- Online Bagging and BoostingNikunj C. Oza, Stuart J. Russell. [doi]
- On searching for optimal classifiers among Bayesian networksRobert G. Cowell. [doi]
- An Anytime Algorithm for Causal InferencePeter Spirtes. [doi]
- Handling Missing and Unreliable Information in Speech RecognitionPhil D. Green, Jon Barker, Martin Cooke, Ljubomir Josifovski. [doi]
- An improved training algorithm for kernel Fisher discriminantsSebastian Mika, Alexander J. Smola, Bernhard Schölkopf. [doi]
- A Kernel Approach for Vector Quantization with Guaranteed Distortion BoundsMichael E. Tipping, Bernhard Schölkopf. [doi]
- Bagging and the Bayesian BootstrapMerlise Clyde, Herbert Lee. 57-62 [doi]