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» Feature selection based on the training set manipulation
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ISMB
1993
13 years 9 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
CG
1998
Springer
13 years 12 months ago
From Simple Features to Sophisticated Evaluation Functions
This paper discusses a practical framework for the semi automatic construction of evaluation functions for games. Based on a structured evaluation function representation, a proced...
Michael Buro
BMCBI
2006
142views more  BMCBI 2006»
13 years 7 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
CVPR
2006
IEEE
14 years 1 months ago
Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...
Ying Shan, Feng Han, Harpreet S. Sawhney, Rakesh K...
DATE
1997
IEEE
80views Hardware» more  DATE 1997»
13 years 12 months ago
Hybrid symbolic-explicit techniques for the graph coloring problem
This paper presents an algorithmic technique based on hybridizing Symbolic Manipulation Techniques based on BDDs with more traditional Explicit solving algorithms. To validate the...
Silvia Chiusano, Fulvio Corno, Paolo Prinetto, Mat...