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96
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 29 days ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
187
Voted
POPL
2003
ACM
16 years 26 days ago
New results on the computability and complexity of points - to analysis
Given a program and two variables p and q, the goal of points-to analysis is to check if p can point to q in some execution of the program. This well-studied problem plays a cruci...
Venkatesan T. Chakaravarthy
RECOMB
2004
Springer
16 years 26 days ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
82
Voted
ICSE
2005
IEEE-ACM
16 years 19 days ago
Real-time specification patterns
Embedded systems are pervasive and frequently used for critical systems with time-dependent functionality. Dwyer et al. have developed qualitative specification patterns to facili...
Sascha Konrad, Betty H. C. Cheng
111
Voted
ICSE
2007
IEEE-ACM
16 years 19 days ago
Automated Inference of Pointcuts in Aspect-Oriented Refactoring
Software refactoring is the process of reorganizing the internal structure of code while preserving the external behavior. Aspect-Oriented Programming (AOP) provides new modulariz...
Prasanth Anbalagan, Tao Xie