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ACE
2004
161views Education» more  ACE 2004»
14 years 11 months ago
Flexible Learning - Maximising Flexibility in a Subject with Large Student Numbers
In providing the introductory computing subject (topic) Information Technology 1A to approximately 800 students per annum in three different modes, a number of delivery mechanisms...
Robert Goodwin, Neville Williams
ICML
2000
IEEE
15 years 10 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
DAGSTUHL
2004
14 years 11 months ago
Modelling Learning Subjects as Relationships
This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is base...
Martin Doerr
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 3 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
ICWE
2003
Springer
15 years 2 months ago
Semi-automatic Assessment Process in a Ubiquitous Environment for Language Learning
This work presents a research on the methods and mechanisms necessary to bring the Information and Communication Technologies in the traditional classroom. This will be achieved by...
Maximiliano Paredes, Manuel Ortega, Pedro P. S&aac...