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» Convergence analysis of online algorithms
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COLT
2004
Springer
15 years 3 months ago
Statistical Properties of Kernel Principal Component Analysis
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
Laurent Zwald, Olivier Bousquet, Gilles Blanchard
NIPS
2007
14 years 11 months ago
Catching Up Faster in Bayesian Model Selection and Model Averaging
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
Tim van Erven, Peter Grunwald, Steven de Rooij
AINA
2004
IEEE
15 years 1 months ago
Topic-Centric Algorithm: A Novel Approach to Web Link Analysis
Link analysis has been used to enhance retrieval results of the web search for years. PageRank and HITS are the two well-known algorithms widely used by most researchers. The form...
Paricha Ingongngam, Arnon Rungsawang
WWW
2003
ACM
15 years 10 months ago
Adaptive on-line page importance computation
The computation of page importance in a huge dynamic graph has recently attracted a lot of attention because of the web. Page importance, or page rank is defined as the fixpoint o...
Serge Abiteboul, Mihai Preda, Gregory Cobena
ICML
2009
IEEE
15 years 10 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever