Volume 22, March 2012 Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012)
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Genevera Allen :
Sparse Higher-Order Principal Components Analysis.
27-36
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journals/jmlr/BalakrishnanS12 Guha Balakrishnan ,
Zeeshan Syed :
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection.
73-81
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Olivier Collier :
Minimax hypothesis testing for curve registration.
236-245
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Bryan Conroy ,
Paul Sajda :
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression.
246-254
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Ofer Dekel ,
Ohad Shamir :
There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems.
291-298
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Justin Domke :
Generic Methods for Optimization-Based Modeling.
318-326
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Gal Elidan :
Copula Network Classifiers (CNCs).
346-354
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Gal Elidan :
Lightning-speed Structure Learning of Nonlinear Continuous Networks.
355-363
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Antonino Freno :
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields.
391-399
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journals/jmlr/GrzegorczykH12 Marco Grzegorczyk ,
Dirk Husmeier :
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters.
467-476
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Michael Habeck :
Evaluation of marginal likelihoods via the density of states.
486-494
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journals/jmlr/HedayatiB12 Fares Hedayati ,
Peter L. Bartlett :
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior.
504-510
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Ming Ji ,
Jiawei Han :
A Variance Minimization Criterion to Active Learning on Graphs.
556-564
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Jörg Lücke ,
Marc Henniges :
Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models.
731-740
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Zhijian Ou ,
Yang Zhang :
Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis.
841-849
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Jinwoo Shin :
Complexity of Bethe Approximation.
1037-1045
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Kyung-Ah Sohn ,
Seyoung Kim :
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization.
1081-1089
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Matt Taddy :
On Estimation and Selection for Topic Models.
1184-1193
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Huan Xu ,
Chenlei Leng :
Robust Multi-task Regression with Grossly Corrupted Observations.
1341-1349
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Chun-Nam Yu :
Transductive Learning of Structural SVMs via Prior Knowledge Constraints.
1367-1376
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