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AAAI
2006
15 years 8 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
WSC
2000
15 years 8 months ago
Modeling reality with simulation games for a cooperative learning
In this work we want to show the importance of visualization, interfaces and re-design techniques through 3D modeling, animations and VRML in the developing of the simulation game...
João Rafael Galvão, Paulo Garcia Mar...
JMLR
2006
124views more  JMLR 2006»
15 years 6 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
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ACMSE
2010
ACM
15 years 1 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 12 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman