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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 1 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
IJCAI
2003
14 years 10 months ago
Monte Carlo Theory as an Explanation of Bagging and Boosting
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
Roberto Esposito, Lorenza Saitta
CONTEXT
2007
Springer
15 years 3 months ago
Adaptive and Context-aware Scenarios for Technology Enhanced Learning System based on a Didactical Theory and a Hierarchical Tas
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
Jean-Louis Tetchueng, Serge Garlatti, Sylvain Laub...
ECTEL
2009
Springer
15 years 4 months ago
Towards a Theory of Socio-technical Interactions
Technology enhanced learning environments are characterized by socio-technical interactions. Socio-technical interactions involve individuals interacting with (a) technologies, and...
Ravi K. Vatrapu
AIED
2009
Springer
15 years 4 months ago
Structuring Learning/Instructional Strategies through a State-based Modeling
This study, through the ontological engineering approach, aims at building a conceptual basis that encourages instructional designers in better understanding of learning/instructio...
Yusuke Hayashi, Jacqueline Bourdeau, Riichiro Mizo...