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JMLR
2008
131views more  JMLR 2008»
15 years 4 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
193
Voted
EUROSYS
2010
ACM
15 years 10 months ago
PUSH: A Dataflow Shell
The deluge of huge data sets such as those provided by sensor networks, online transactions, and the web provide exciting opportunities for data analysis. The scale of the data ...
Noah Evans, Eric Van Hensbergen
113
Voted
CVPR
2003
IEEE
16 years 6 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
ICML
2002
IEEE
16 years 5 months ago
Reinforcement Learning and Shaping: Encouraging Intended Behaviors
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
Adam Laud, Gerald DeJong
ICML
1998
IEEE
16 years 5 months ago
Learning Collaborative Information Filters
Predicting items a user would like on the basis of other users' ratings for these items has become a well-established strategy adopted by many recommendation services on the ...
Daniel Billsus, Michael J. Pazzani