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ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ATAL
2010
Springer
15 years 7 months ago
Inter-robot transfer learning for perceptual classification
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Zsolt Kira
203
Voted
IJIIDS
2008
201views more  IJIIDS 2008»
15 years 6 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
151
Voted
ETS
2002
IEEE
155views Hardware» more  ETS 2002»
15 years 6 months ago
The experience of practitioners with technology-enhanced teaching and learning
This paper describes a research project, which seeks to showcase the experience base of practitioners with technology-enhanced teaching and learning. A particular focus of this in...
Som Naidu, David Cunnington, Carol Jasen
SIGCSE
2002
ACM
152views Education» more  SIGCSE 2002»
15 years 6 months ago
Learning styles and performance in the introductory programming sequence
This paper reports on the implication of different preferred learning styles on students'performance in the introductory programming sequence and on work in progress on how t...
Lynda Thomas, Mark Ratcliffe, John Woodbury, Emma ...