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» Quantified Conditionals and Compositionality
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ICML
2009
IEEE
14 years 8 months ago
Compositional noisy-logical learning
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
Alan L. Yuille, Songfeng Zheng
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 7 months ago
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua Dillon, Guy Lebanon
NETWORKS
2010
13 years 5 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
ACL
1998
13 years 8 months ago
Dealing with Distinguishing Descriptions in a Guided Composition System
: The goal of this paper is to provide computable account for some definite descriptions. To this end, we define in terms of inclusion the notion of distinguishing description and ...
Pascal Mouret, Monique Rolbert
BMCBI
2005
132views more  BMCBI 2005»
13 years 7 months ago
Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
Background: A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed ge...
Gajendra P. S. Raghava, Joon H. Han