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BMCBI
2008
101views more  BMCBI 2008»
13 years 9 months ago
Reranking candidate gene models with cross-species comparison for improved gene prediction
Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patt...
Qian Liu, Koby Crammer, Fernando C. N. Pereira, Da...
ESANN
2000
13 years 10 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
ICASSP
2008
IEEE
14 years 3 months ago
An information theoretic approach to processing management
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...
Christopher M. Kreucher, Kevin M. Carter
TSC
2008
91views more  TSC 2008»
13 years 8 months ago
Selective Querying for Adapting Web Service Compositions Using the Value of Changed Information
Web service composition (WSC) techniques assume that the parameters used to model the environment remain static and accurate throughout the composition's execution. However, W...
John Harney, Prashant Doshi
AI
1998
Springer
13 years 8 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga