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» Improved bounds on the sample complexity of learning
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DAGM
2011
Springer
12 years 7 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
ICALP
2009
Springer
14 years 7 months ago
LTL Path Checking Is Efficiently Parallelizable
We present an AC1 (logDCFL) algorithm for checking LTL formulas over finite paths, thus establishing that the problem can be efficiently parallelized. Our construction provides a f...
Lars Kuhtz, Bernd Finkbeiner
ICML
2008
IEEE
14 years 8 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
STOC
2003
ACM
114views Algorithms» more  STOC 2003»
14 years 7 months ago
Testing subgraphs in directed graphs
Let H be a fixed directed graph on h vertices, let G be a directed graph on n vertices and suppose that at least n2 edges have to be deleted from it to make it H-free. We show tha...
Noga Alon, Asaf Shapira
VIS
2004
IEEE
170views Visualization» more  VIS 2004»
14 years 8 months ago
Guaranteed Quality Triangulation of Molecular Skin Surfaces
We present an efficient algorithm to mesh the macromolecules surface model represented by the skin surface defined by Edelsbrunner. Our algorithm overcomes several challenges resi...
Ho-Lun Cheng, Xinwei Shi