696 search results - page 57 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
104
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BMCBI
2007
14 years 10 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
107
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CONSTRAINTS
2008
14 years 10 months ago
2008
Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
EMNLP
2006
14 years 11 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...