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BMCBI
2007
146views more  BMCBI 2007»
15 years 6 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
CVPR
2008
IEEE
16 years 8 months ago
Boosting adaptive linear weak classifiers for online learning and tracking
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
SIGIR
2005
ACM
16 years 1 days ago
Measure-based metasearch
We propose a simple method for converting many standard measures of retrieval performance into metasearch algorithms. Our focus is both on the analysis of retrieval measures thems...
Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz
SAT
2005
Springer
95views Hardware» more  SAT 2005»
15 years 12 months ago
Random Walk with Continuously Smoothed Variable Weights
Many current local search algorithms for SAT fall into one of two classes. Random walk algorithms such as Walksat/SKC, Novelty+ and HWSAT are very successful but can be trapped for...
Steven David Prestwich
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes