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COLT
2008
Springer
14 years 11 months 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
ALT
2010
Springer
14 years 11 months ago
A Lower Bound for Learning Distributions Generated by Probabilistic Automata
Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability
Borja Balle, Jorge Castro, Ricard Gavaldà
ICALT
2006
IEEE
15 years 4 months ago
An Approach for Detecting Learning Styles in Learning Management Systems
Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS...
Sabine Graf, Kinshuk
ICML
2004
IEEE
15 years 10 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
ICALT
2009
IEEE
15 years 4 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