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ICML
2007
IEEE
16 years 7 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
ICML
2007
IEEE
16 years 7 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
ICML
2007
IEEE
16 years 7 months ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth
ICML
2007
IEEE
16 years 7 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
WWW
2007
ACM
16 years 7 months ago
Organizing Publications and Bookmarks in BibSonomy
BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. Apart from standard folksono...
Andreas Hotho, Beate Krause, Christoph Schmitz, Ge...