Sciweavers

1986 search results - page 173 / 398
» Modelling Learning Subjects as Relationships
Sort
View
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 5 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
COLT
1994
Springer
15 years 8 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
16 years 6 months ago
Corpus-based Schema Matching
Schema Matching is the problem of identifying corresponding elements in different schemas. Discovering these correspondences or matches is inherently difficult to automate. Past s...
Jayant Madhavan, Philip A. Bernstein, AnHai Doan, ...
CORR
2002
Springer
87views Education» more  CORR 2002»
15 years 4 months ago
Myths and Legends of the Baldwin Effect
This position paper argues that the Baldwin effect is widely misunderstood by the evolutionary computation community. The misunderstandings appear to fall into two general categor...
Peter D. Turney
UAI
2003
15 years 6 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...