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ESEM
2009
ACM
16 years 1 months ago
Predicting defects with program dependencies
Software development is a complex and error-prone task. An important factor during the development of complex systems is the understanding of the dependencies that exist between d...
Thomas Zimmermann, Nachiappan Nagappan
EUROPAR
1997
Springer
15 years 10 months ago
A Relational Approach to the Compilation of Sparse Matrix Programs
Abstract. We present a relational algebra based framework for compiling e cient sparse matrix code from dense DO-ANY loops and a speci cation of the representation of the sparse ma...
Vladimir Kotlyar, Keshav Pingali, Paul Stodghill
EVOW
2009
Springer
15 years 4 months ago
Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...
Agustín Orfila, Juan M. Estévez-Tapi...
INFORMS
2010
100views more  INFORMS 2010»
15 years 3 months ago
Two-Step MIR Inequalities for Mixed Integer Programs
Two-step MIR inequalities are valid inequalities derived from a facet of a simple mixedinteger set with three variables and one constraint. In this paper we investigate how to eff...
Sanjeeb Dash, Marcos Goycoolea, Oktay Günl&uu...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales