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ECCC
2007
90views more  ECCC 2007»
15 years 2 months ago
Parameterized Proof Complexity: a Complexity Gap for Parameterized Tree-like Resolution
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are not fixed-parameter tractable. We consider proofs that witness that a given pro...
Stefan S. Dantchev, Barnaby Martin, Stefan Szeider
KER
2008
107views more  KER 2008»
15 years 2 months ago
Tuplespace-based computing for the Semantic Web: a survey of the state-of-the-art
Semantic technologies promise to solve many challenging problems of the present Web applications. As they achieve a feasible level of maturity, they become increasingly accepted i...
Lyndon J. B. Nixon, Elena Paslaru Bontas Simperl, ...
114
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JMIV
2006
124views more  JMIV 2006»
15 years 2 months ago
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
Vector field segmentation methods usually belong to either of three classes: methods which segment regions homogeneous in direction and/or norm, methods which detect discontinuiti...
Tristan Roy, Eric Debreuve, Michel Barlaud, Gilles...
JMLR
2006
85views more  JMLR 2006»
15 years 2 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
140
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JMLR
2006
140views more  JMLR 2006»
15 years 2 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
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