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AI
2008
Springer
15 years 6 months ago
Expressive probabilistic description logics
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Thomas Lukasiewicz
CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 6 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
VL
1993
IEEE
159views Visual Languages» more  VL 1993»
15 years 10 months ago
A Visual Logic Programming Language Based on Sets and Partitioning Constraints
This paper presents a new programming language named SPARCL that has four major elements: it is a visual language, it is a logic programming language, it relies on sets to organiz...
Lindsey L. Spratt, Allen L. Ambler
VLSID
2005
IEEE
139views VLSI» more  VLSID 2005»
16 years 7 months ago
Variable Input Delay CMOS Logic for Low Power Design
Modern digital circuits consist of logic gates implemented in the complementary metal oxide semiconductor (CMOS) technology. The time taken for a logic gate output to change after...
Tezaswi Raja, Vishwani D. Agrawal, Michael L. Bush...
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
15 years 8 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan