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IJCNN
2006
IEEE
16 years 12 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
BIBE
2001
IEEE
188views Bioinformatics» more  BIBE 2001»
15 years 10 months ago
Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
IROS
2007
IEEE
193views Robotics» more  IROS 2007»
16 years 20 days ago
Temporal segmentation and recognition of body motion data based on inter-limb correlation analysis
— A method for segmentation and recognition of human body behavior data is proposed. Recognition of human body movements is getting larger interests in robotic research field, s...
Toru Nakata
153
Voted
PR
2007
112views more  PR 2007»
15 years 5 months ago
The effect of imbalanced data sets on LDA: A theoretical and empirical analysis
This paper demonstrates that the imbalanced data sets have a negative effect on the performance of LDA theoretically. This theoretical analysis is confirmed by the experimental r...
Jigang Xie, ZhengDing Qiu