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JMLR
2006
124views more  JMLR 2006»
14 years 9 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
JMLR
2006
118views more  JMLR 2006»
14 years 9 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
JMLR
2006
99views more  JMLR 2006»
14 years 9 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
JMLR
2006
106views more  JMLR 2006»
14 years 9 months ago
Stability Properties of Empirical Risk Minimization over Donsker Classes
We study some stability properties of algorithms which minimize (or almost-minimize) empirical error over Donsker classes of functions. We show that, as the number n of samples gr...
Andrea Caponnetto, Alexander Rakhlin
JMLR
2006
147views more  JMLR 2006»
14 years 9 months ago
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Current server-side anti-spam ...
Giorgio Fumera, Ignazio Pillai, Fabio Roli