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ICTAI
2003
IEEE
14 years 2 months ago
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Marc Ricordeau
IAT
2009
IEEE
14 years 26 days ago
A Multi Facet Representation of a Fuzzy Ontology Population
This work proposes a system process for extracting automatically a fuzzy ontology from a collection of web resources. The approach exploits the Formal Concept Analysis theory for ...
Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Sab...
IJCAI
2003
13 years 10 months ago
Action representation and partially observable planning using epistemic logic
We propose a purely logical framework for planning in partially observable environments. Knowledge states are expressed in a suitable fragment of the epistemic logic S5. We show h...
Andreas Herzig, Jérôme Lang, Pierre M...
UAI
1997
13 years 10 months ago
Time-Critical Action: Representations and Application
We review the problem of time-critical action and discuss a reformulation that shifts knowledge acquisition from the assessment of complex temporal probabilistic dependencies to t...
Eric Horvitz, Adam Seiver
BMCBI
2010
133views more  BMCBI 2010»
13 years 9 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang