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AIIA
2007
Springer
15 years 11 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
ICML
2000
IEEE
16 years 5 months ago
Classification of Individuals with Complex Structure
This paper introduces a foundation for inductive learning based on the use of higher-order logic for knowledge representation. In particular, the paper (i) provides a systematic i...
Antony F. Bowers, Christophe G. Giraud-Carrier, Jo...
ICDE
2007
IEEE
204views Database» more  ICDE 2007»
15 years 11 months ago
OS_RANK: Structure Analysis for Ontology Ranking
Ontologies have been shown to be beneficial for representing domain knowledge, and are quickly becoming the backbone of the Semantic Web. The need for ontology ranking techniques ...
Wei Yu, Qing Li, Junpeng Chen, Jiaheng Cao
JAR
2007
132views more  JAR 2007»
15 years 4 months ago
Visualizing SAT Instances and Runs of the DPLL Algorithm
SAT-solvers have turned into essential tools in many areas of applied logic like, for example, hardware verification or satisfiability checking modulo theories (SMT). And althoug...
Carsten Sinz
FUIN
2000
109views more  FUIN 2000»
15 years 4 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman