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» Experimental Comparison of Feature Subset Selection Methods
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SEAL
1998
Springer
15 years 10 months ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho
ICDAR
2011
IEEE
14 years 5 months ago
Recognizing Characters with Severe Perspective Distortion Using Hash Tables and Perspective Invariants
—In this paper, we present a novel method to recognize characters with severe perspective distortion using hash tables and perspective invariants. The proposed algorithm consists...
Pan Pan, Yuanping Zhu, Jun Sun 0004, Satoshi Naoi
TMI
2010
172views more  TMI 2010»
15 years 4 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
15 years 3 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
BMCBI
2007
114views more  BMCBI 2007»
15 years 6 months ago
Probabilistic prediction and ranking of human protein-protein interactions
Background: Although the prediction of protein-protein interactions has been extensively investigated for yeast, few such datasets exist for the far larger proteome in human. Furt...
Michelle S. Scott, Geoffrey J. Barton