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AAAI
2010
15 years 6 months ago
Computing Cost-Optimal Definitely Discriminating Tests
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
Anika Schumann, Jinbo Huang, Martin Sachenbacher
SCIA
2005
Springer
158views Image Analysis» more  SCIA 2005»
16 years 1 days ago
A Graph Representation of Filter Networks
Abstract. Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finit...
Björn Svensson, Mats T. Andersson, Hans Knuts...
JSAT
2008
79views more  JSAT 2008»
15 years 6 months ago
PicoSAT Essentials
In this article we describe and evaluate optimized compact data structures for watching literals. Experiments with our SAT solver PicoSAT show that this low-level optimization not...
Armin Biere
ICML
2010
IEEE
15 years 7 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
SODA
2008
ACM
105views Algorithms» more  SODA 2008»
15 years 8 months ago
Distribution-sensitive point location in convex subdivisions
A data structure is presented for point location in convex planar subdivisions when the distribution of queries is known in advance. The data structure has an expected query time t...
Sébastien Collette, Vida Dujmovic, John Iac...