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» Optimizing Local Probability Models for Statistical Parsing
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108
Voted
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 3 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
148
Voted
DCOSS
2011
Springer
14 years 1 months ago
A distributed information fusion method for localization based on Pareto optimization
—To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appea...
Alessio De Angelis, Carlo Fischione
ACL
2006
15 years 3 months ago
A Discriminative Global Training Algorithm for Statistical MT
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
Christoph Tillmann, Tong Zhang
112
Voted
COLING
2000
15 years 3 months ago
Statistical Morphological Disambiguation for Agglutinative Languages
We present statistical models for morphological disambiguation in agglutinative languages, with a specific application to Turkish. Turkish presents an interesting problem for stati...
Dilek Z. Hakkani-Tür, Kemal Oflazer, Gök...
PRL
2008
85views more  PRL 2008»
15 years 1 months ago
Reliability estimation of a statistical classifier
Pattern classification techniques derived from statistical principles have been widely studied and have proven powerful in addressing practical classification problems. In real-wo...
Pandu Ranga Rao Devarakota, Bruno Mirbach, Bjö...