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ICML
2010
IEEE
15 years 4 months ago
An Analysis of the Convergence of Graph Laplacians
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...
Daniel Ting, Ling Huang, Michael I. Jordan
COLT
1999
Springer
15 years 7 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 2 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ICML
2006
IEEE
16 years 3 months ago
Using query-specific variance estimates to combine Bayesian classifiers
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
Chi-Hoon Lee, Russell Greiner, Shaojun Wang
IPPS
2008
IEEE
15 years 9 months ago
VT-ASOS: Holistic system software customization for many cores
VT-ASOS is a framework for holistic and continuous customization of system software on HPC systems. The framework leverages paravirtualization technology. VT-ASOS extends the Xen ...
Dimitrios S. Nikolopoulos, Godmar Back, Jyotirmaya...