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» Approximation Algorithms for Min-Max Generalization Problems
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WWW
2007
ACM
16 years 2 months ago
Just the right amount: extracting modules from ontologies
The ability to extract meaningful fragments from an ontology is key for ontology re-use. We propose a definition of a module that guarantees to completely capture the meaning of a...
Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazako...
JCO
2008
84views more  JCO 2008»
15 years 1 months ago
Partitioning a weighted partial order
The problem of partitioning a partially ordered set into a minimum number of chains is a well-known problem. In this paper we study a generalization of this problem, where we not ...
Linda S. Moonen, Frits C. R. Spieksma
ESA
2004
Springer
126views Algorithms» more  ESA 2004»
15 years 7 months ago
Path Decomposition Under a New Cost Measure with Applications to Optical Network Design
We introduce a problem directly inspired by its application to DWDM (dense wavelength division multiplexing) network design. We are given a set of demands to be carried over a netw...
Elliot Anshelevich, Lisa Zhang
SIAMJO
2002
133views more  SIAMJO 2002»
15 years 1 months ago
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Abstract. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
Philip E. Gill, Walter Murray, Michael A. Saunders
ICCV
2005
IEEE
15 years 7 months ago
A Unifying Approach to Hard and Probabilistic Clustering
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
Ron Zass, Amnon Shashua