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» Termination Analysis with Algorithmic Learning
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105
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ALT
2007
Springer
16 years 17 days ago
Tuning Bandit Algorithms in Stochastic Environments
Algorithms based on upper-confidence bounds for balancing exploration and exploitation are gaining popularity since they are easy to implement, efficient and effective. In this p...
Jean-Yves Audibert, Rémi Munos, Csaba Szepe...
ALT
2009
Springer
16 years 17 days ago
Approximation Algorithms for Tensor Clustering
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
133
Voted
COLT
1998
Springer
15 years 7 months ago
Improved Boosting Algorithms using Confidence-Rated Predictions
Abstract. We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each o...
Robert E. Schapire, Yoram Singer
132
Voted
PAA
2010
15 years 2 months ago
A simple iterative algorithm for parsimonious binary kernel Fisher discrimination
By applying recent results in optimization theory variously known as optimization transfer or majorize/minimize algorithms, an algorithm for binary, kernel, Fisher discriminant ana...
Robert F. Harrison, Kitsuchart Pasupa
113
Voted
ACL
2003
15 years 5 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
Yunbo Cao, Hang Li, Li Lian