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Publication search results
found 47 matches
- 2001
- Russell G. Almond, Lou DiBello, Frank Jenkins, Deniz Senturk, Robert J. Mislevy, Linda S. Steinberg, Duanli Yan:
Models for Conditional Probability Tables in Educational Assessment. AISTATS 2001: 1-7 - Hagai Attias:
Learning in high dimensions: modular mixture models. AISTATS 2001: 8-12 - Eric de Bodt, Marie Cottrell, Michel Verleysen:
Are they really neighbors? A statistical analysis of the SOM algorithm output. AISTATS 2001: 87-92 - Susanne Bottcher:
Learning Bayesian networks with mixed variables. AISTATS 2001: 13-20 - Andrew D. Brown, Geoffrey E. Hinton:
Products of Hidden Markov Models. AISTATS 2001: 21-28 - Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
Information-Theoretic Advisors in Invisible Chess. AISTATS 2001: 29-34 - Rich Caruana:
A Non-Parametric EM-Style Algorithm for Imputing Missing Values. AISTATS 2001: 35-40 - Hugh A. Chipman, Edward I. George, Robert E. McCulloch:
Managing Multiple Models. AISTATS 2001: 41-48 - Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung:
Solving Hidden-Mode Markov Decision Problems. AISTATS 2001: 49-56 - Merlise A. Clyde, Herbert K. H. Lee:
Bagging and the Bayesian Bootstrap. AISTATS 2001: 57-62 - Adrian Corduneanu, Christopher M. Bishop:
Hyperparameters for Soft Bayesian Model Selection. AISTATS 2001: 63-70 - Robert G. Cowell:
On searching for optimal classifiers among Bayesian networks. AISTATS 2001: 71-76 - James Cussens:
Statistical Aspects of Stochastic Logic Programs. AISTATS 2001: 77-82 - A. Philip Dawid:
Some variations on variation independence.. AISTATS 2001: 83-86 - Michael O. Duff:
Monte-Carlo Algorithms for the Improvement of Finite-State Stochastic Controllers: Application to Bayes-Adaptive Markov Decision Processes. AISTATS 2001: 93-97 - Yoav Freund, Yishay Mansour, Robert E. Schapire:
Why averaging classifiers can protect against overfitting. AISTATS 2001: 98-105 - Pierre Geurts:
Dual perturb and combine algorithm. AISTATS 2001: 106-111 - Phil D. Green, Jon Barker, Martin Cooke, Ljubomir Josifovski:
Handling Missing and Unreliable Information in Speech Recognition. AISTATS 2001: 112-116 - Anne Guérin-Dugué, Gilles Celeux:
Discriminant Analysis on Dissimilarity Data : a New Fast Gaussian like Algorithm. AISTATS 2001: 117-122 - Malene Højbjerre:
Profile Likelihood in Directed Graphical Models from BUGS Output. AISTATS 2001: 123-128 - Wenxin Jiang:
Is regularization unnecessary for boosting?. AISTATS 2001: 129-136 - Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman:
Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS 2001: 137-142 - Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont:
Predicting with Variables Constructed from Temporal Sequences. AISTATS 2001: 143-148 - Oscar Kipersztok, Haiqin Wang:
Another look at sensitivity of Bayesian networks to imprecise probabilities. AISTATS 2001: 149-155 - Petri Kontkanen, Petri Myllymäki, Henry Tirri:
Comparing Prequential Model Selection Criteria in Supervised Learning of Mixture Models. AISTATS 2001: 156-161 - Martin H. C. Law, James Tin-Yau Kwok:
Bayesian Support Vector Regression. AISTATS 2001: 162-167 - Neil D. Lawrence:
Variational Learning for Multi-Layer Networks of Linear Threshold Units. AISTATS 2001: 168-175 - Lillian Lee:
On the effectiveness of the skew divergence for statistical language analysis. AISTATS 2001: 176-183 - Subramani Mani, Gregory F. Cooper:
A Simulation Study of Three Related Causal Data Mining Algorithms. AISTATS 2001: 184-191 - Christopher Meek:
Finding a path is harder than finding a tree. AISTATS 2001: 192-195
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