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» A metric approach toward point process divergence
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ISSRE
2007
IEEE
15 years 1 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
13 years 2 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
15 years 3 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»
15 years 3 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»
15 years 9 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...