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» A maximum entropy approach to species distribution modeling
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ICML
2007
IEEE
14 years 8 months ago
Local similarity discriminant analysis
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
Luca Cazzanti, Maya R. Gupta
EMNLP
2008
13 years 9 months ago
Two Languages are Better than One (for Syntactic Parsing)
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
David Burkett, Dan Klein
INFOCOM
2005
IEEE
14 years 1 months ago
Joint optimal scheduling and routing for maximum network throughput
— In this paper we consider packet networks loaded by admissible traffic patterns, i.e. by traffic patterns that, if optimally routed, do not overload network resources. In the...
Emilio Leonardi, Marco Mellia, Marco Ajmone Marsan...
CSDA
2006
60views more  CSDA 2006»
13 years 8 months ago
Numerical integration in logistic-normal models
Marginal maximum likelihood estimation is commonly used to estimate logistic-normal models. In this approach, the contribution of random effects to the likelihood is represented a...
Jorge González, Francis Tuerlinckx, Paul De...
IJCAI
2007
13 years 9 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...