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114
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ICPR
2008
IEEE
16 years 5 months ago
A matrix alignment approach for link prediction
This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictiv...
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-...
119
Voted
SAC
2010
ACM
15 years 10 months ago
Recovering uncertain mappings through structural validation and aggregation with the MoTo system
We present an automated ontology matching methodology, supported by various machine learning techniques, as implemented in the system MoTo. The methodology is twotiered. On the ï¬...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
NIPS
1996
15 years 5 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
101
Voted
IJVR
2008
127views more  IJVR 2008»
15 years 3 months ago
Embodied Tutors for Interaction Skills Simulation Training
This paper describes intelligent virtual tutors for interaction skills training who can serve the roles of demonstrator, coach, trainer, mentor, and observer. These roles meet the ...
Robert Hubal
ICASSP
2011
IEEE
14 years 7 months ago
Non-linear tagging models with localist and distributed word representations
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
Sumit Chopra, Srinivas Bangalore