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» Structural Inference for Semistructured Data
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GRC
2005
IEEE
15 years 8 months ago
Temporal granular logic for temporal data mining
— In this article, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The...
Paul Cotofrei, Kilian Stoffel
IJCAT
2010
93views more  IJCAT 2010»
15 years 1 months ago
FAETON: Form Analysis and Extraction Tool for ONtology construction
Abstract: This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilit...
Rafael Berlanga Llavori, Ernesto Jiménez-Ru...
DCC
2007
IEEE
16 years 2 months ago
Structure induction by lossless graph compression
This work is motivated by the necessity to automate the discovery of structure in vast and evergrowing collection of relational data commonly represented as graphs, for example ge...
Leonid Peshkin
IJCAI
2007
15 years 4 months ago
Incremental Construction of Structured Hidden Markov Models
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
ICML
2004
IEEE
16 years 3 months ago
A graphical model for protein secondary structure prediction
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
Wei Chu, Zoubin Ghahramani, David L. Wild