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ALT
2007
Springer
16 years 1 months ago
Learning Rational Stochastic Tree Languages
Abstract. We consider the problem of learning stochastic tree languages, i.e. probability distributions over a set of trees T(F), from a sample of trees independently drawn accordi...
François Denis, Amaury Habrard
ALT
2002
Springer
16 years 1 months ago
A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning
In this paper, we close the gap between the simple and straight-forward implementations of top-down hill-climbing that can be found in the literature, and the rather complex strate...
Johannes Fürnkranz
ICALT
2008
IEEE
15 years 11 months ago
Personalized Access and Students' Coauthoring in Repositories of Learning Objects: The Case of a Repository of Programming Examp
This paper presents a Case-Based Reasoning approach for the personalized access and the students’ coauthoring tasks in on-line repositories of Learning Objects (LOs). The person...
Mercedes Gómez-Albarrán, Susana Baut...
ECML
2007
Springer
15 years 10 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
CONEXT
2006
ACM
15 years 10 months ago
Learning for accurate classification of real-time traffic
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
Wei Li, Andrew W. Moore