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» Formal multiple-bernoulli models for language modeling
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IJCAI
2003
15 years 2 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
WWW
2003
ACM
16 years 2 months ago
?-Queries: enabling querying for semantic associations on the semantic web
This paper presents the notion of Semantic Associations as complex relationships between resource entities. These relationships capture both a connectivity of entities as well as ...
Kemafor Anyanwu, Amit P. Sheth
BIBE
2005
IEEE
121views Bioinformatics» more  BIBE 2005»
15 years 7 months ago
RNA Pseudoknot Prediction Using Term Rewriting
RNA plays a critical role in mediating every step of cellular information transfer from genes to functional proteins. Pseudoknots are widely occurring structural motifs found in a...
Xuezheng Fu, Hao Wang, William L. Harrison, Robert...
ICALP
2009
Springer
16 years 1 months ago
Rate-Based Transition Systems for Stochastic Process Calculi
A variant of Rate Transition Systems (RTS), proposed by Klin and Sassone, is introduced and used as the basic model for defining stochastic behaviour of processes. The transition r...
Rocco De Nicola, Diego Latella, Michele Loreti, Mi...
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 8 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...