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» Problems of learning in multi-agent systems
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90
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IJMC
2006
58views more  IJMC 2006»
14 years 10 months ago
Hoarding content for mobile learning
: M-learning is a rapidly expanding recently domain. Provoked by the fast advances of mobile technologies different applications and systems are developed continuously. Here we add...
Anna Trifonova, Marco Ronchetti
113
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AROBOTS
2002
115views more  AROBOTS 2002»
14 years 10 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
85
Voted
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
15 years 2 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
GIS
2009
ACM
15 years 2 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
110
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CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar