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» Refinement and Separation Contexts
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AIPS
1996
13 years 10 months ago
Deduction-Based Refinement Planning
Weintroduce a method of deduction-based refinement planning where prefabricated general solutions are adapted to special problems. Refmementproceeds by stepwise transforming nonco...
Werner Stephan, Susanne Biundo
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 2 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ICPR
2008
IEEE
14 years 9 months ago
On refining dissimilarity matrices for an improved NN learning
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...
Elzbieta Pekalska, Robert P. W. Duin
QSIC
2008
IEEE
14 years 3 months ago
Using Machine Learning to Refine Black-Box Test Specifications and Test Suites
In the context of open source development or software evolution, developers are often faced with test suites which have been developed with no apparent rationale and which may nee...
Lionel C. Briand, Yvan Labiche, Zaheer Bawar
PVLDB
2010
147views more  PVLDB 2010»
13 years 3 months ago
Automatic Rule Refinement for Information Extraction
Rule-based information extraction from text is increasingly being used to populate databases and to support structured queries on unstructured text. Specification of suitable info...
Bin Liu 0002, Laura Chiticariu, Vivian Chu, H. V. ...