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NIPS
2007
15 years 5 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
IADIS
2004
15 years 5 months ago
Selecting Multimedia Interactions to Build Knowledge Structures
Two sets of multimedia learning materials were compared for their ability to promote learning of introductory computer programming The first set of materials was a sequentially na...
Wendy Doube, Juhani Tuovinen, Dale Shaffer
IDA
2010
Springer
15 years 2 months ago
Selecting the Links in BisoNets Generated from Document Collections
According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a ...
Marc Segond, Christian Borgelt
CVPR
2006
IEEE
16 years 6 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 8 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian