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JMLR
2002
106views more  JMLR 2002»
15 years 12 days ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
95
Voted
ICML
2003
IEEE
16 years 1 months ago
Low Bias Bagged Support Vector Machines
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...
Giorgio Valentini, Thomas G. Dietterich
95
Voted
ACRI
2004
Springer
15 years 4 months ago
Learning What to Eat: Studying Inter-relations Between Learning, Grouping, and Environmental Conditions in an Artificial World
Abstract. In this paper we develop an artificial world model to investigate how environmental conditions affect opportunities for learning. We model grouping entities that learn wh...
Daniel J. van der Post, Paulien Hogeweg
110
Voted
IIE
2008
145views more  IIE 2008»
15 years 22 days ago
Students Learning Experience in the Integrated Information Literacy Course Constructed in Virtual Learning Environment
Abstract. The paper examines the impact of ICT on students learning experiences and opportunities offered by virtual learning environment as an integral part of traditional learnin...
Vilhelmina Vaiciuniene, Genute Gedviliene
120
Voted
OTM
2007
Springer
15 years 6 months ago
Re-experiencing History in Archaeological Parks by Playing a Mobile Augmented Reality Game
This paper presents a mobile system that supports young students learning history at an archaeological site. It adopts gameplay as a novel and effective technique particularly suit...
Carmelo Ardito, Paolo Buono, Maria Francesca Costa...