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ISPASS
2006
IEEE
14 years 8 days ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
TCAD
2010
102views more  TCAD 2010»
13 years 29 days ago
Functional Test Generation Using Efficient Property Clustering and Learning Techniques
Abstract--Functional verification is one of the major bottlenecks in system-on-chip design due to the combined effects of increasing complexity and lack of automated techniques for...
Mingsong Chen, Prabhat Mishra
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 6 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
IPPS
2002
IEEE
13 years 11 months ago
Parallel EST Clustering
Expressed sequence tags, abbreviated ESTs, are DNA fragments experimentally derived from expressed portions of genes. Clustering of ESTs is essential for gene recognition and unde...
Anantharaman Kalyanaraman, Srinivas Aluru, Suresh ...
KBSE
2003
IEEE
13 years 11 months ago
Automated Software Testing Using a Metaheuristic Technique Based on Tabu Search
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic g...
Eugenia Díaz, Javier Tuya, Raquel Blanco