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» A Machine Learning Approach for Statistical Software Testing
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CASES
2006
ACM
15 years 3 months ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...
BMCBI
2007
139views more  BMCBI 2007»
14 years 10 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
14 years 7 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
APSEC
2009
IEEE
14 years 7 months ago
A Formal Framework to Integrate Timed Security Rules within a TEFSM-Based System Specification
Abstract--Formal methods are very useful in software industry and are becoming of paramount importance in practical engineering techniques. They involve the design and the modeling...
Wissam Mallouli, Amel Mammar, Ana R. Cavalli
PAMI
2012
13 years 8 days ago
Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video
—We describe an approach for segmenting a moving image into regions that correspond to surfaces in the scene that are partially surrounded by the medium. It integrates both appea...
Alper Ayvaci, Stefano Soatto