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» From Constraints to Finite Automata to Filtering Algorithms
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AAAI
1990
13 years 9 months ago
Terminological Cycles in KL-ONE-based Knowledge Representation Languages
Cyclic definitions are often prohibited in terminological knowledge representation languages because, from a theoretical point of view, their semantics is not clear and, from a pr...
Franz Baader
IJCAI
2001
13 years 9 months ago
Balance and Filtering in Structured Satisfiable Problems
New methods to generate hard random problem instances have driven progress on algorithms for deduction and constraint satisfaction. Recently Achlioptas et al. (AAAI 2000) introduc...
Henry A. Kautz, Yongshao Ruan, Dimitris Achlioptas...
SMA
2003
ACM
154views Solid Modeling» more  SMA 2003»
14 years 1 months ago
Discretization of functionally based heterogeneous objects
The presented approach to discretization of functionally defined heterogeneous objects is oriented towards applications associated with numerical simulation procedures, for exampl...
Elena Kartasheva, Valery Adzhiev, Alexander A. Pas...
FASE
2008
Springer
13 years 10 months ago
Regular Inference for State Machines Using Domains with Equality Tests
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Therese Berg, Bengt Jonsson, Harald Raffelt
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 8 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek