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» Theory Refinement and Natural Language Learning
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IANDC
2007
81views more  IANDC 2007»
13 years 5 months ago
Some natural conditions on incremental learning
The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requirements s...
Sanjay Jain, Steffen Lange, Sandra Zilles
APSEC
2003
IEEE
13 years 9 months ago
An Analysis of Backward Simulation Data-Refinement for Partial Relation Semantics
This paper investigates data-refinement by backward simulation for specifications whose semantics is given by partial relations. The standard model-theoretic approach is based on ...
Moshe Deutsch, Martin C. Henson
IROS
2006
IEEE
120views Robotics» more  IROS 2006»
13 years 11 months ago
Learning from Nature to Build Intelligent Autonomous Robots
Information processing within autonomous robots should follow a biomimetic approach. In contrast to traditional approaches that make intensive use of accurate measurements, numeric...
Rainer Bischoff 0002, Volker Graefe
FUIN
2008
108views more  FUIN 2008»
13 years 3 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
EMSOFT
2008
Springer
13 years 7 months ago
Interface theories with component reuse
Interface theories have been proposed to support incremental design and independent implementability. Incremental design means that the compatibility checking of interfaces can pr...
Laurent Doyen, Thomas A. Henzinger, Barbara Jobstm...