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» A distributed machine learning framework
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ALT
2000
Springer
14 years 8 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
ICALT
2009
IEEE
14 years 6 months ago
Mediating Distribution Models and Access Control for the Exchange of Learning Objects
This paper presents a learning object broker that aims to mediate and control accesses to learning objects offered by the “Learning Resource Exchange”. This broker provides a u...
Jean-Noel Colin, Tien-Dung Le, David Massart
COLT
2008
Springer
14 years 29 days ago
On the Power of Membership Queries in Agnostic Learning
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
Vitaly Feldman
NEUROSCIENCE
2001
Springer
14 years 3 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
COLT
2008
Springer
14 years 29 days ago
Learning Mixtures of Product Distributions Using Correlations and Independence
We study the problem of learning mixtures of distributions, a natural formalization of clustering. A mixture of distributions is a collection of distributions D = {D1, . . . DT },...
Kamalika Chaudhuri, Satish Rao