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» Popular Ensemble Methods: An Empirical Study
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CVPR
2008
IEEE
14 years 9 months ago
Histogram-based search: A comparative study
Histograms represent a popular means for feature representation. This paper is concerned with the problem of exhaustive histogram-based image search. Several standard histogram co...
Mikhail Sizintsev, Konstantinos G. Derpanis, Andre...
WWW
2005
ACM
14 years 8 months ago
An experimental study on large-scale web categorization
Taxonomies of the Web typically have hundreds of thousands of categories and skewed category distribution over documents. It is not clear whether existing text classification tech...
Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin ...
WSC
1998
13 years 9 months ago
An Analytical Comparison of Optimization Problem Generation Methodologies
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
Raymond R. Hill
AAAI
2000
13 years 9 months ago
Gridworlds as Testbeds for Planning with Incomplete Information
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Craig A. Tovey, Sven Koenig
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
13 years 5 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...