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BMCBI
2010
124views more  BMCBI 2010»
13 years 8 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
13 years 10 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
FIMI
2003
210views Data Mining» more  FIMI 2003»
13 years 10 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj
FTCS
1997
99views more  FTCS 1997»
13 years 10 months ago
Toward Accessibility Enhancement of Dependability Modeling Techniques and Tools
Fast turnaroundtime independabilityevaluation iscrucialfor e cient fault-tolerant system design and dependability of the resulting product since timely feedbacks will allow more i...
Ann T. Tai, Herbert Hecht, Kishor S. Trivedi, Bing...
EMNLP
2009
13 years 6 months ago
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...