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JMLR
2012
11 years 11 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
HSNMC
2004
Springer
130views Multimedia» more  HSNMC 2004»
14 years 2 months ago
Benefits of Using Ontologies in the Management of High Speed Networks
Network management is an area where many different technologies coexist. Several languages are used to define the information to be managed, which are specific of each management m...
Jorge E. López de Vergara, Víctor A....
IEEEICCI
2003
IEEE
14 years 2 months ago
Mixing Semantic Networks and Conceptual Vectors: The Case of Hyperonymy
In this paper, we focus on lexical semantics, a key issue in Natural Language Processing (NLP) that tends to converge with conceptual Knowledge Representation (KR) and ontologies....
Violaine Prince, Mathieu Lafourcade
ILP
2005
Springer
14 years 2 months ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...
ETFA
2006
IEEE
14 years 3 months ago
Modelling and Verification of IEC 61499 Applications using Prolog
This paper presents a new approach to modelling and verification of function block applications of the IEC 61499 standard. The approach uses the language of logic programming Prol...
Victor Dubinin, Valeriy Vyatkin, Hans-Michael Hani...