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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 5 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICPR
2006
IEEE
16 years 3 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
112
Voted
ICML
2005
IEEE
16 years 3 months ago
Expectation maximization algorithms for conditional likelihoods
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
132
Voted
AAAI
2008
15 years 4 months ago
Simulation-Based Approach to General Game Playing
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
Hilmar Finnsson, Yngvi Björnsson
100
Voted
SI3D
1999
ACM
15 years 6 months ago
Preprocessing occlusion for real-time selective refinement
Visibility computation and level of detail modeling are two important components of efficient scenerendering algorithms. Both aim to lessen the graphics load by lowering polygon c...
Fei-Ah Law, Tiow Seng Tan