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ACL
2008
13 years 9 months ago
Efficient, Feature-based, Conditional Random Field Parsing
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynam...
Jenny Rose Finkel, Alex Kleeman, Christopher D. Ma...
MP
1998
113views more  MP 1998»
13 years 7 months ago
Generalized semi-infinite optimization: A first order optimality condition and examples
We consider a generalized semi-infinite optimization problem (GSIP) of the form (GSIP) min{f(x) Ix E M}, where M = {x E N"lhi(x ) = 0, i = 1,...,m, G(x,y) /> 0, y E Y(x)} ...
Hubertus Th. Jongen, Jan-J. Rückmann, Oliver ...
JCIT
2010
172views more  JCIT 2010»
13 years 2 months ago
Conditional Sensor Deployment Using Evolutionary Algorithms
Sensor deployment is a critical issue, as it affects the cost and detection capabilities of a wireless sensor network. Although many previous efforts have addressed this issue, mo...
M. Sami Soliman, Guanzheng Tan
JMLR
2010
102views more  JMLR 2010»
13 years 2 months ago
Efficient Algorithms for Conditional Independence Inference
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implications by an algebraic method of structural imsets. The basic idea is to transfor...
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindn...
AAAI
2011
12 years 8 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...