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FSTTCS
2001
Springer
15 years 2 months ago
Semidefinite Programming Based Approximation Algorithms
Semidefinite programming based approximation algorithms, such as the Goemans and Williamson approximation algorithm for the MAX CUT problem, are usually shown to have certain perf...
Uri Zwick
DESRIST
2009
Springer
115views Education» more  DESRIST 2009»
15 years 1 months ago
Ontological design
In this paper, we describe the concept of ontological design. We show how ontologies can be used as cognitive maps of complex, ill-structured, plastic problems. They can be used t...
Arkalgud Ramaprasad, Sridhar S. Papagari
KAIS
2006
121views more  KAIS 2006»
14 years 9 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 19 days ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
SIGECOM
2011
ACM
203views ECommerce» more  SIGECOM 2011»
14 years 19 days ago
Polynomial-time computation of exact correlated equilibrium in compact games
In a landmark paper, Papadimitriou and Roughgarden [2008] described a polynomial-time algorithm (“Ellipsoid Against Hope”) for computing sample correlated equilibria of concis...
Albert Xin Jiang, Kevin Leyton-Brown