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ENTCS
2008
146views more  ENTCS 2008»
14 years 11 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
BMCBI
2006
121views more  BMCBI 2006»
14 years 11 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
CORR
2010
Springer
193views Education» more  CORR 2010»
14 years 9 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
NAS
2010
IEEE
14 years 8 months ago
A Probabilistic Routing Protocol for Heterogeneous Sensor Networks
The past five years witnessed a rapid development in wireless sensor networks, which have been widely used in military and civilian applications. Due to different requirements in t...
Yuefei Hu, Wenzhong Li, Xiao Chen, Xin Chen, Sangl...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
15 years 11 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu