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UAI
2003
15 years 7 months ago
An Importance Sampling Algorithm Based on Evidence Pre-propagation
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
Changhe Yuan, Marek J. Druzdzel
IJCAI
1993
15 years 7 months ago
Rule-Based Regression
While decision trees have been used primarily for classification, they can also model regression or function approximation. Like classification trees, regression trees often yield...
Sholom M. Weiss, Nitin Indurkhya
GMP
2008
IEEE
162views Solid Modeling» more  GMP 2008»
15 years 7 months ago
Cutting and Fracturing Models without Remeshing
Afiniteelement simulationframeworkforcuttingand fracturing model without remeshing is presented. The main idea of proposed method is adding a discontinuous function for the standa...
Chao Song, Hongxin Zhang, Yuan Wu, Hujun Bao
ICMCS
2010
IEEE
258views Multimedia» more  ICMCS 2010»
15 years 7 months ago
A comparative study of similarity measures for content-based multimedia retrieval
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, ...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
ICML
2010
IEEE
15 years 7 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag