4930 search results - page 104 / 986 » Learning minimal abstractions |
90
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
115
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
85
Voted
EMNLP
2008
15 years 2 months ago
2008
We propose a new graph-based semisupervised learning (SSL) algorithm and demonstrate its application to document categorization. Each document is represented by a vertex within a ...
91
Voted
NIPS
1993
15 years 2 months ago
1993
This paper describes the Q-routing algorithm for packet routing, in which a reinforcement learning module is embedded into each node of a switching network. Only local communicati...
117
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JMLR
2006
15 years 18 days ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...