Sciweavers

ICCS
1994
Springer
13 years 11 months ago
UDS: A Universal Data Structure
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
Robert Levinson
ECML
1994
Springer
13 years 11 months ago
Estimating Attributes: Analysis and Extensions of RELIEF
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
Igor Kononenko
ECML
1994
Springer
13 years 11 months ago
Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream
This paperpresents several industrial applications of MLin the context of their effort to solve the "KAMLproblem", i.e., the problem of merging knowledge acquisition and...
Yves Kodratoff
ECML
1993
Springer
13 years 11 months ago
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
Gilles Venturini
ECML
1993
Springer
13 years 11 months ago
Exploiting Context When Learning to Classify
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
Peter D. Turney
ECML
1993
Springer
13 years 11 months ago
Integrated Learning Architectures
Research in systems where learning is integrated to other components like problem solving, vision, or natural language is becoming an important topic for Machine Learning. Situatio...
Enric Plaza, Agnar Aamodt, Ashwin Ram, Walter Van ...
ECML
1993
Springer
13 years 11 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman