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ECAI
2006
Springer
14 years 1 months ago
Compiling Possibilistic Knowledge Bases
Abstract. Possibilistic knowledge bases gather propositional formulas associated with degrees belonging to a linearly ordered scale. These degrees reflect certainty or priority, de...
Salem Benferhat, Henri Prade
ECML
2006
Springer
14 years 1 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
ICALP
2000
Springer
14 years 1 months ago
Temporal Rewards for Performance Evaluation
Today many formalisms exist for specifying complex Markov chains. In contrast, formalism for specifying the quantitative properties to analyze have remained quite primitive. In th...
Jeroen Voeten
EURODAC
1995
IEEE
126views VHDL» more  EURODAC 1995»
14 years 1 months ago
Timing optimization by bit-level arithmetic transformations
This paper describes a method to optimize the performance of data paths. It is based on bit-level arithmetic transformations, and is especially suited to optimize large adder stru...
Luc Rijnders, Zohair Sahraoui, Paul Six, Hugo De M...
AIIA
1991
Springer
14 years 1 months ago
Approximate Entailment
The use of approximation as a method for dealing with complex problems is a fundamental research issue in Knowledge Representation. Using approximation in symbolic AI is not strai...
Marco Cadoli, Marco Schaerf