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» Structure learning of Bayesian networks using constraints
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ACL
2010
15 years 2 months ago
Global Learning of Focused Entailment Graphs
We propose a global algorithm for learning entailment relations between predicates. We define a graph structure over predicates that represents entailment relations as directed ed...
Jonathan Berant, Ido Dagan, Jacob Goldberger
IJCAI
2001
15 years 5 months ago
Robot Weightlifting By Direct Policy Search
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
Michael T. Rosenstein, Andrew G. Barto
AIME
2003
Springer
15 years 9 months ago
Attribute Interactions in Medical Data Analysis
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
ISNN
2004
Springer
15 years 9 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
MOBIHOC
2007
ACM
16 years 3 months ago
Cross-layer latency minimization in wireless networks with SINR constraints
Recently, there has been substantial interest in the design of crosslayer protocols for wireless networks. These protocols optimize certain performance metric(s) of interest (e.g....
Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marat...