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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
14 years 8 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
PR
2002
108views more  PR 2002»
14 years 9 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...
ISMVL
2009
IEEE
107views Hardware» more  ISMVL 2009»
15 years 4 months ago
Regular Encodings from Max-CSP into Partial Max-SAT
We define a number of original encodings, called regular encodings, that map Max-CSP instances into Partial MaxSAT instances. First, we obtain new direct and (minimal) support en...
Josep Argelich, Alba Cabiscol, Inês Lynce, F...
HICSS
2005
IEEE
159views Biometrics» more  HICSS 2005»
15 years 3 months ago
Knowledge Management Capability Assessment: Validating a Knowledge Assets Measurement Instrument
Measurement of organizational knowledge assets is necessary to determine the effectiveness of knowledge management initiatives. A Knowledge Management Capability Assessment instru...
Ron Freeze, Uday R. Kulkarni
84
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NAACL
2010
14 years 7 months ago
Probabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a f...
Dipanjan Das, Nathan Schneider, Desai Chen, Noah A...