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NIPS
2004
15 years 5 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
112
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WSC
2004
15 years 5 months ago
Quasi-Monte Carlo Methods in Finance
We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variancereduction techniques, and the main classes of constructions under...
Pierre L'Ecuyer
ICANN
2010
Springer
15 years 4 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
CG
2008
Springer
15 years 4 months ago
A simple and flexible framework to adapt dynamic meshes
Many graphics applications represent deformable surfaces through dynamic meshes. To be consistent during deformations, the dynamic meshes require an adaptation process. In this pa...
Fernando de Goes, Siome Goldenstein, Luiz Velho
AIR
2006
76views more  AIR 2006»
15 years 4 months ago
Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
Evolutionary computation techniques are increasingly being applied to problems within Information Retrieval (IR). Genetic programming (GP) has previously been used with some succe...
Ronan Cummins, Colm O'Riordan