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PAA
2002
15 years 6 months ago
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers. These techniques are designed for, and usually ...
Marina Skurichina, Robert P. W. Duin
CMSB
2006
Springer
15 years 10 months ago
Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis
Abstract. The important research objective of identifying genes with similar behavior with respect to different conditions has recently been tackled with biclustering techniques. I...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
COMPLEX
2009
Springer
16 years 27 days ago
Comparing Networks from a Data Analysis Perspective
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
Wei Li, Jing-Yu Yang
RECOMB
2005
Springer
16 years 6 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston
KAIS
2011
102views more  KAIS 2011»
15 years 1 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...