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JMLR
2006
108views more  JMLR 2006»
13 years 7 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
13 years 6 months ago
Real-world validation of three tipover algorithms for mobile robots
— Mobile robot tipover is a concern as it can create dangerous situations for operators and bystanders, cause collateral damage to the surrounding environment, and result in an a...
Philip R. Roan, Aaron Burmeister, Amin Rahimi, Kev...
COLT
2006
Springer
13 years 11 months ago
Stable Transductive Learning
Abstract. We develop a new error bound for transductive learning algorithms. The slack term in the new bound is a function of a relaxed notion of transductive stability, which meas...
Ran El-Yaniv, Dmitry Pechyony
WG
2005
Springer
14 years 1 months ago
Hypertree Decompositions: Structure, Algorithms, and Applications
We review the concepts of hypertree decomposition and hypertree width from a graph theoretical perspective and report on a number of recent results related to these concepts. We al...
Georg Gottlob, Martin Grohe, Nysret Musliu, Marko ...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett