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Attilio Giordana
Researcher at University of Eastern Piedmont
Publications - 103
Citations - 1523
Attilio Giordana is an academic researcher from University of Eastern Piedmont. The author has contributed to research in topics: Hidden Markov model & Statistical relational learning. The author has an hindex of 20, co-authored 102 publications receiving 1503 citations. Previous affiliations of Attilio Giordana include University of Turin.
Papers
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Journal ArticleDOI
Search-intensive concept induction
Attilio Giordana,Filippo Neri +1 more
TL;DR: Regional, a distributed genetic algorithm-based system, designed for learning first-order logic concept descriptions from examples, suggests that genetic search may be a valuable alternative to logic-based approaches to learning concepts, when no (or little) a priori knowledge is available and a very large hypothesis space has to be explored.
Book ChapterDOI
A Knowledge Intensive Approach to Concept Induction.
TL;DR: This paper presents a concept acquisition methodology that uses data, domain knowledge, and tentative concept descriptions in an integrated way to produce discriminant and operational concept descriptions, by integrating inductive and deductive learning.
Journal ArticleDOI
Modeling production rules by means of predicate transition networks
Attilio Giordana,Lorenza Saitta +1 more
TL;DR: The characteristics which make them suitable for representing knowledge and control strategies in expert systems are analyzed.
Journal ArticleDOI
Automated concept acquisition in noisy environments
TL;DR: A system that performs automated concept acquisition from examples and has been specially designed to work in noisy environments is presented and several criteria are proposed for evaluating the acquired knowledge.
Book ChapterDOI
Learning disjunctive concepts by means of genetic algorithms
TL;DR: A formal analysis of the universal suffrage operator is presented, providing theoretical explanations of the experimentally observed behaviour, and a long term control strategy, called “Tories and Whigs”, is proposed in order to overcome the problem of lethal matings between uncompatible disjuncts.