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PASTE
2004
ACM
15 years 5 months ago
Evaluating the imprecision of static analysis
This work discusses two non-traditional approaches for evaluating the imprecision of static analysis. The approaches are based on proofs of feasibility or infeasibility that are c...
Atanas Rountev, Scott Kagan, Michael Gibas
ECML
2003
Springer
15 years 5 months ago
Evaluation of Topographic Clustering and Its Kernelization
We consider the topographic clustering task and focus on the problem of its evaluation, which enables to perform model selection: topographic clustering algorithms, from the origin...
Marie-Jeanne Lesot, Florence d'Alché-Buc, G...
EP
1998
Springer
15 years 4 months ago
Generating, Visualizing, and Evaluating High-Quality Clusters for Information Organization
We present and analyze the star clustering algorithm. We discuss an implementation of this algorithm that supports browsing and document retrieval through information organization...
Javed A. Aslam, Katya Pelekhov, Daniela Rus
SWWS
2008
15 years 1 months ago
Metrics for Evaluating the Semantic Implications of Changes in Evolving Ontologies
We propose a set of metrics for measuring the semantic implications of changes during ontology evolution. Our metrics focus on the changes of classes and associated axioms or annot...
Chuming Chen, Manton M. Matthews
CORR
2007
Springer
57views Education» more  CORR 2007»
14 years 12 months ago
On Evaluating the Rate-Distortion Function of Sources with Feed-Forward and the Capacity of Channels with Feedback
— In this work, we study the problem of evaluating the performance limit of two communication problems that are closely related to each other- source coding with feed-forward and...
Ramji Venkataramanan, S. Sandeep Pradhan