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ICML
2006
IEEE
16 years 3 months ago
Feature subset selection bias for classification learning
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
Surendra K. Singhi, Huan Liu
116
Voted
GIS
2009
ACM
15 years 7 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
125
Voted
VR
2008
IEEE
180views Virtual Reality» more  VR 2008»
15 years 2 months ago
Transfer of learning in virtual environments: a new challenge?
: The aim of all education is to apply what we learn in different contexts and to recognise and extend this learning to new situations. Virtual learning environments can used to bu...
Cyril Bossard, Gilles Kermarrec, Cédric Buc...
ICML
2009
IEEE
16 years 3 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
CORR
2010
Springer
100views Education» more  CORR 2010»
14 years 9 months ago
Discovering Knowledge from Multi-modal Lecture Recordings
Educational media mining is the process of converting raw media data from educational systems to useful information that can be used to design learning systems, answer research qu...
Kannan Rajkumar, Christian Guetl