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» On Boosting with Polynomially Bounded Distributions
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MP
2007
95views more  MP 2007»
13 years 9 months ago
Smoothed analysis of integer programming
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
Heiko Röglin, Berthold Vöcking
STOC
2001
ACM
123views Algorithms» more  STOC 2001»
14 years 10 months ago
On optimal slicing of parallel programs
Optimal program slicing determines for a statement S in a program whether or not S affects a specified set of statements, given that all conditionals in are interpreted as non-d...
Markus Müller-Olm, Helmut Seidl
COLT
2010
Springer
13 years 7 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 10 months ago
Online Learning of Noisy Data with Kernels
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
TCS
2008
13 years 9 months ago
On a quasi-ordering on Boolean functions
It was proved few years ago that classes of Boolean functions definable by means of functional equations [9], or equivalently, by means of relational constraints [16], coincide wit...
Miguel Couceiro, Maurice Pouzet