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» A metric approach toward point process divergence
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ISSRE
2007
IEEE
13 years 8 months ago
Using In-Process Testing Metrics to Estimate Post-Release Field Quality
In industrial practice, information on the software field quality of a product is available too late in the software lifecycle to guide affordable corrective action. An important ...
Nachiappan Nagappan, Laurie Williams, Mladen A. Vo...
JMLR
2012
11 years 9 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
TACS
1997
Springer
13 years 11 months ago
A Type-Theoretic Approach to Deadlock-Freedom of Asynchronous Systems
We present a type-based technique for the veri cation of deadlock-freedom in asynchronous concurrent systems. Our general approach is to start with a simple interaction category, i...
Samson Abramsky, Simon J. Gay, Rajagopal Nagarajan
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
13 years 10 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 4 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...