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» Learning and using relational theories
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DMIN
2006
134views Data Mining» more  DMIN 2006»
15 years 8 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
ICALT
2008
IEEE
16 years 1 months ago
Competence Based Educational Metadata for Supporting Lifelong Competence Development Programmes
In the context of the emerging paradigm of Lifelong Learning, competence-based learning is gradually attracting the attention of the Technology-Enhanced Learning community, since ...
Demetrios G. Sampson, Demetrios Fytros
IWCLS
2007
Springer
16 years 20 days ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
NIPS
2008
15 years 8 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
HICSS
2003
IEEE
104views Biometrics» more  HICSS 2003»
15 years 12 months ago
Information Technology Investment and Adoption: A Rational Expectations Perspective
This study examines the potential applications of the Rational Expectations Hypothesis (REH) in information technology (IT) investment and adoption decisionmaking. Although REH ha...
Yoris A. Au, Robert J. Kauffman