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131
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TIT
2010
88views Education» more  TIT 2010»
14 years 9 months ago
Zero-rate feedback can achieve the empirical capacity
The utility of limited feedback for coding over an individual sequence of DMCs is investigated. This study complements recent results showing how limited or noisy feedback can boos...
Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, M...
98
Voted
AAAI
2006
15 years 3 months ago
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
Meinolf Sellmann, Carlos Ansótegui
110
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ALT
2006
Springer
15 years 11 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
126
Voted
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 7 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
94
Voted
ICML
2009
IEEE
16 years 3 months ago
PAC-Bayesian learning of linear classifiers
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
Alexandre Lacasse, François Laviolette, Mar...