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ILP
2004
Springer
14 years 3 months ago
On Avoiding Redundancy in Inductive Logic Programming
ILP systems induce first-order clausal theories performing a search through very large hypotheses spaces containing redundant hypotheses. The generation of redundant hypotheses ma...
Nuno A. Fonseca, Vítor Santos Costa, Fernan...
IEAAIE
1998
Springer
14 years 2 months ago
Complexity and Cognitive Computing
Abstract. This paper has as main goal to develop a hybrid expert system to minimize some of the complexity problems related to arti cial intelligence eld. For instance, we can ment...
Lourdes Mattos Brasil, Fernando Mendes de Azevedo,...
ICML
2008
IEEE
14 years 10 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
IJNSEC
2008
210views more  IJNSEC 2008»
13 years 10 months ago
A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machine
One of the biggest challenges facing digital investigators is the sheer volume of data that must be searched in locating the digital evidence. How to efficiently locate the eviden...
Zaiqiang Liu, Dongdai Lin, Fengdeng Guo
ICML
2009
IEEE
14 years 10 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji