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» On learning algorithm selection for classification
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ICML
2007
IEEE
16 years 1 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
142
Voted
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
132
Voted
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 1 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
106
Voted
PR
2008
79views more  PR 2008»
15 years 1 months ago
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
Ying Liu, Dengsheng Zhang, Guojun Lu
CHI
2010
ACM
15 years 3 months ago
Sequential art for science and CHI
This paper illustrates our preliminary studies of new interactive tools that support the generation of sequential art for entertainment, learning and scientific discourse. In the ...
Duncan Rowland, Dan Porter, Mel Gibson, Kevin Walk...