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» Dimensions of machine learning in design
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
ICML
2007
IEEE
14 years 8 months ago
Winnowing subspaces
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
Manfred K. Warmuth
EH
2005
IEEE
123views Hardware» more  EH 2005»
14 years 1 months ago
Embryonic Machines That Grow, Self-Replicate and Self-Repair
After a reminder about embryonic machines endowed with universal construction and universal computation properties, this paper presents a novel architecture providing additional s...
André Stauffer, Daniel Mange, Gianluca Temp...
ICALT
2003
IEEE
14 years 1 months ago
Exploratory + Collaborative Learning in Programming: A Framework for the Design of Learning Activities
In this paper, we propose a framework for the design of learning activities, which follows the key idea of the “Learning-for-Use” model and adopts characteristics from the exp...
Agoritsa Gogoulou, Evangelia Gouli, Maria Grigoria...
ICALT
2005
IEEE
14 years 1 months ago
Learning Units Design Based in Grid Computing
: The development of cooperative, flexible and reusable learning environments is a need in modern education. The IMS Learning Design specification has played a very important role ...
Leonel Iriarte Navarro, Manuel Marco Such, Alexand...