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» A Model Selection Approach for Local Learning
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134
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CIKM
2011
Springer
14 years 2 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
129
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INFORMS
1998
100views more  INFORMS 1998»
15 years 2 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
145
Voted
MOBIQUITOUS
2007
IEEE
15 years 8 months ago
TRULLO - local trust bootstrapping for ubiquitous devices
—Handheld devices have become sufficiently powerful that it is easy to create, disseminate, and access digital content (e.g., photos, videos) using them. The volume of such cont...
Daniele Quercia, Stephen Hailes, Licia Capra
131
Voted
NIPS
2003
15 years 3 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
113
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ECTEL
2006
Springer
15 years 6 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon