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» A primer of simple theories
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SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 1 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
ECAI
2010
Springer
15 years 28 days ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
ICFP
2010
ACM
15 years 27 days ago
Matching lenses: alignment and view update
Bidirectional programming languages are a practical approach to the view update problem. Programs in these languages, called lenses, define both a view and an update policy--i.e.,...
Davi M. J. Barbosa, Julien Cretin, Nate Foster, Mi...
SPAA
2010
ACM
15 years 1 days ago
Scheduling to minimize power consumption using submodular functions
We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multiinterval offline task scheduling to minimize power usage. Here each proce...
Erik D. Demaine, Morteza Zadimoghaddam
BMCBI
2010
155views more  BMCBI 2010»
14 years 12 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe