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» A Framework for Multiple-Instance Learning
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ICML
1996
IEEE
16 years 5 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami
WWW
2007
ACM
16 years 5 months ago
First-order focused crawling
This paper reports a new general framework of focused web crawling based on "relational subgroup discovery". Predicates are used explicitly to represent the relevance cl...
Qingyang Xu, Wanli Zuo
ALT
2009
Springer
16 years 2 months ago
Pure Exploration in Multi-armed Bandits Problems
Abstract. We consider the framework of stochastic multi-armed bandit problems and study the possibilities and limitations of strategies that explore sequentially the arms. The stra...
Sébastien Bubeck, Rémi Munos, Gilles...
ALT
2008
Springer
16 years 2 months ago
Prequential Randomness
This paper studies Dawid’s prequential framework from the point of view of the algorithmic theory of randomness. The main result is that two natural notions of randomness coincid...
Vladimir Vovk, Alexander Shen
CVPR
2010
IEEE
16 years 1 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...