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» Learning relational dependency networks in hybrid domains
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IJCAI
2007
14 years 10 days ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ACL
2009
13 years 8 months ago
Distant supervision for relation extraction without labeled data
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
CORR
2004
Springer
106views Education» more  CORR 2004»
13 years 10 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
ICC
2007
IEEE
148views Communications» more  ICC 2007»
14 years 5 months ago
On Connectivity and Capacity of Wireless Mesh Networks
—Wireless Mesh Networks represent an interesting technology due to their reliability, broad coverage and relatively easy and inexpensive scalability. The architecture is mainly a...
Ernesto Miorando, Fabrizio Granelli
ICCS
2003
Springer
14 years 4 months ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...