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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
143
Voted
SEMWEB
2010
Springer
15 years 2 months ago
ORE - A Tool for Repairing and Enriching Knowledge Bases
Abstract. While the number and size of Semantic Web knowledge bases increases, their maintenance and quality assurance are still difficult. In this article, we present ORE, a tool ...
Jens Lehmann, Lorenz Bühmann
159
Voted
IJMMS
1998
94views more  IJMMS 1998»
15 years 4 months ago
Towards situated knowledge acquisition
Situated cognition is not a mere philosophical concern: it has pragmatic implications for current practice in knowledge acquisition. Tools must move from being design-focused to b...
Tim Menzies
EACL
2006
ACL Anthology
15 years 6 months ago
Bayesian Network, a Model for NLP?
The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
Davy Weissenbacher
BMCBI
2007
167views more  BMCBI 2007»
15 years 5 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk