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NIPS
2004
13 years 11 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
ICPR
2010
IEEE
13 years 10 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
VLDB
2002
ACM
144views Database» more  VLDB 2002»
13 years 9 months ago
Shooting Stars in the Sky: An Online Algorithm for Skyline Queries
Skyline queries ask for a set of interesting points from a potentially large set of data points. If we are traveling, for instance, a restaurant might be interesting if there is n...
Donald Kossmann, Frank Ramsak, Steffen Rost
JSC
2010
90views more  JSC 2010»
13 years 8 months ago
Modular Las Vegas algorithms for polynomial absolute factorization
Let f(X, Y ) ∈ Z[X, Y ] be an irreducible polynomial over Q. We give a Las Vegas absolute irreducibility test based on a property of the Newton polytope of f, or more precisely,...
Cristina Bertone, Guillaume Chèze, Andr&eac...
PPSN
2010
Springer
13 years 8 months ago
Globally Induced Model Trees: An Evolutionary Approach
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
Marcin Czajkowski, Marek Kretowski