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127
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NIPS
2008
15 years 4 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
NIPS
2008
15 years 4 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
110
Voted
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 4 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
113
Voted
AAAI
2006
15 years 4 months ago
Compilation of Query-Rewriting Problems into Tractable Fragments of Propositional Logic
We consider the problem of rewriting a query efficiently using materialized views. In the context of information integration, this problem has received significant attention in th...
Yolifé Arvelo, Blai Bonet, Maria-Esther Vid...
108
Voted
AAAI
2006
15 years 4 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams