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BMCBI
2006
147views more  BMCBI 2006»
13 years 7 months ago
A hidden Markov model approach for determining expression from genomic tiling micro arrays
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
Kasper Munch, Paul P. Gardner, Peter Arctander, An...
CIKM
2006
Springer
13 years 11 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai
ICML
2006
IEEE
14 years 8 months ago
Robust probabilistic projections
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
Cédric Archambeau, Michel Verleysen, Nicola...
SIGIR
2005
ACM
14 years 1 months ago
An exploration of axiomatic approaches to information retrieval
Existing retrieval models generally do not offer any guarantee for optimal retrieval performance. Indeed, it is even difficult, if not impossible, to predict a model’s empirica...
Hui Fang, ChengXiang Zhai
RSKT
2009
Springer
14 years 2 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao