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» Learning the structure of manifolds using random projections
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JACM
2011
98views more  JACM 2011»
13 years 3 months ago
Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix
We analyze the convergence of randomized trace estimators. Starting at 1989, several algorithms have been proposed for estimating the trace of a matrix by 1 M M i=1 zT i Azi, where...
Haim Avron, Sivan Toledo
JMLR
2008
230views more  JMLR 2008»
13 years 8 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
EC
2006
121views ECommerce» more  EC 2006»
13 years 8 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
PPSN
2004
Springer
14 years 1 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
WMTE
2002
IEEE
14 years 1 months ago
KLeOS: A Personal, Mobile, Knowledge and Learning Organisation System
The design of a personal, mobile Knowledge and Learning Organisation System (KLeOS) is described. Studies of adult learning practice showed [1] that learning activity is mobile be...
Giasemi N. Vavoula, Mike Sharples