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Abstract.*. Over-generalization is a well-known problem in empirical learning. Incremental and cautious generalization may limit it, but the concept ...
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Abstract. Ourston, D. and R.J. Mooney, Theory refinement combining analytical and empirical methods, Artificial Intelligence 66 (1994) 273-309.
This paper presents a comprehensive approach to automatic theory refinement. In contrast to other systems, the approach is capable of modifying a.
We can specialize the file interface with type refinements that express the access protocol mentioned above. newFile : (unit; 1) * ∃[f : File](Its(f); ...
Feb 19, 2021 · Engineered knowledge was refined by removing conditions from rules to generalize them, adding learned conditions to specialize them, removing ...
Refinements can then be written for region allocation, object allocation, get, set and region deallocation operations. 4.3 Interrupt Levels. For their study ...
This paper presents constructive induction techniques recently added to the EITHER theory refinement system.
We study a first-order logical theory of refinement, where the atomic propo- sitions are refinements, and give a semantics using Henkin models, for which the.
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This is the second edition of my PhD dissertation which contains minor corrections and improvements to the version submitted in November 1998.
How to Specialize by Theory Refinement. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/ecai/Nedellec92. Home | Example Publications ...