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» Linear programming with online learning
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ICML
2007
IEEE
14 years 9 months ago
Learning nonparametric kernel matrices from pairwise constraints
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
ETS
2002
IEEE
121views Hardware» more  ETS 2002»
13 years 8 months ago
Establishing Connections: Interactivity Factors for a Distance Education Course
Both academic institutions and businesses are exploring a shift from face-to-face instruction to distance learning. However, without the foundation of a systematic instructional d...
Diane Berger Ehrlich
ACMACE
2006
ACM
14 years 2 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
ICML
2008
IEEE
14 years 9 months ago
Large scale manifold transduction
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
Michael Karlen, Jason Weston, Ayse Erkan, Ronan Co...
NIPS
2008
13 years 10 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye