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» Learning Equivalence Classes of Bayesian Network Structures
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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ECTEL
2007
Springer
15 years 3 months ago
Network Analysis of Repositories
In the paper an approach to analysis of the structure of repositories based on network analysis is proposed. The repository metadata can be transformed into several (one-mode or tw...
Vladimir Batagelj, Iztok Kavkler, Matija Lokar
COMAD
2009
14 years 10 months ago
Querying for relations from the semi-structured Web
We present a class of web queries whose result is a multi-column relation instead of a collection of unstructured documents as in standard web search. The user specifies the query...
Sunita Sarawagi
CSCLP
2006
Springer
15 years 1 months ago
Efficient Recognition of Acyclic Clustered Constraint Satisfaction Problems
Abstract. In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to b...
Igor Razgon, Barry O'Sullivan
CDC
2009
IEEE
151views Control Systems» more  CDC 2009»
15 years 2 months ago
A poset framework to model decentralized control problems
— In this paper we use partially ordered sets (posets) to study decentralized control problems arising in different settings. We show that time delayed systems with certain dela...
Parikshit Shah, Pablo A. Parrilo