1393 search results - page 113 / 279 » Machine Learning by Function Decomposition |
87
Voted
ECAI
2000
Springer
15 years 6 months ago
2000
Springer
Abstract. A conceptual framework, whose goal is the improvement of efficiency of machine learning, is presented. The framework is designed in a broader context of problem solver (P...
87
Voted
COLT
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We consider the problem of learning an acyclic discrete circuit with n wires, fan-in bounded by k and alphabet size s using value injection queries. For the class of tran...
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Local Coordinate Coding (LCC), introduced in (Yu et al., 2009), is a high dimensional nonlinear learning method that explicitly takes advantage of the geometric structure of the d...
113
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COLT
2008
Springer
15 years 3 months ago
2008
Springer
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...