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» Optimizing Local Probability Models for Statistical Parsing
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SLS
2007
Springer
111views Algorithms» more  SLS 2007»
15 years 8 months ago
Mixed Models for the Analysis of Local Search Components
We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on th...
Jørgen Bang-Jensen, Marco Chiarandini, Yuri...
CVPR
2012
IEEE
13 years 4 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
TASLP
2008
108views more  TASLP 2008»
15 years 1 months ago
An Online Relevant Set Algorithm for Statistical Machine Translation
This paper presents a novel online relevant set algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the glob...
Christoph Tillmann, Tong Zhang
BIB
2006
141views more  BIB 2006»
15 years 1 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
ECAI
2008
Springer
15 years 3 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito