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» Dimensions of machine learning in design
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ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 9 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
CSCL
2006
109views more  CSCL 2006»
13 years 9 months ago
Supporting synchronous collaborative learning: A generic, multi-dimensional model
Future CSCL technologies are described by the community as flexible, tailorable, negotiable, and appropriate for various collaborative settings, conditions and contexts. This paper...
Jacques Lonchamp
IIS
2000
13 years 10 months ago
Speeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
Ryszard S. Michalski, Guido Cervone, Kenneth A. Ka...
IWANN
1999
Springer
14 years 1 months ago
Support Vector Machines for Multi-class Classification
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
Eddy Mayoraz, Ethem Alpaydin
ICALT
2006
IEEE
14 years 3 months ago
Vicarious Learning and Multimodal Dialogue
Vicarious Learning is learning from watching others learn. We believe that this is a powerful model for computer-based learning. Learning episodes can be captured and replayed to ...
John Lee