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FOCS
1999
IEEE
13 years 10 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
AAAI
1993
13 years 7 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
AICOM
2006
105views more  AICOM 2006»
13 years 6 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina
DBWORKSHOPS
1992
13 years 7 months ago
An Incremental Concept Formation Approach for Learning from Databases
Godin, R. and R. Missaoui, An incremental concept formation approach for learning from databases, Theoretical Computer Science 133 (1994) 3533385. This paper describes a concept f...
Rokia Missaoui, Robert Godin
ICMLA
2007
13 years 7 months ago
Phase transition and heuristic search in relational learning
Several works have shown that the covering test in relational learning exhibits a phase transition in its covering probability. It is argued that this phase transition dooms every...
Érick Alphonse, Aomar Osmani