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107
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CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 25 days ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
96
Voted
CORR
2006
Springer
91views Education» more  CORR 2006»
15 years 23 days ago
The Complexity of Mean Flow Time Scheduling Problems with Release Times
We study the problem of preemptive scheduling n jobs with given release times on m identical parallel machines. The objective is to minimize the average flow time. We show that wh...
Philippe Baptiste, Peter Brucker, Marek Chrobak, C...
SODA
2010
ACM
261views Algorithms» more  SODA 2010»
15 years 10 months ago
Bidimensionality and Kernels
Bidimensionality theory appears to be a powerful framework in the development of meta-algorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, ...
COCOON
2009
Springer
15 years 7 months ago
Convex Recoloring Revisited: Complexity and Exact Algorithms
We take a new look at the convex path recoloring (CPR), convex tree recoloring (CTR), and convex leaf recoloring (CLR) problems through the eyes of the independent set problem. Th...
Iyad A. Kanj, Dieter Kratsch
FOCS
2005
IEEE
15 years 6 months ago
Learning mixtures of product distributions over discrete domains
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio