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» The Use of Classifiers in Sequential Inference
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BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
IEAAIE
2007
Springer
14 years 1 months ago
Intelligent OS Process Scheduling Using Fuzzy Inference with User Models
The process scheduling aims to arrange CPU time to multiple processes for providing users with more efficient throughput. Except the class of process set by user, conventional oper...
Sungsoo Lim, Sung-Bae Cho
CAIP
2009
Springer
248views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Rapid Inference of Object Rigidity and Reflectance Using Optic Flow
Abstract. Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, th...
Di Zang, Katja Doerschner, Paul R. Schrater
BIRTHDAY
2010
Springer
13 years 8 months ago
Inferring Loop Invariants Using Postconditions
One of the obstacles in automatic program proving is to obtain suitable loop invariants. The invariant of a loop is a weakened form of its postcondition (the loop's goal, als...
Carlo A. Furia, Bertrand Meyer
JCIT
2008
124views more  JCIT 2008»
13 years 7 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das