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87
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CEC
2007
IEEE
15 years 7 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
15 years 6 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
105
Voted
RTSS
2003
IEEE
15 years 6 months ago
Multiple-Resource Periodic Scheduling Problem: how much fairness is necessary?
The Pfair algorithms are optimal for independent periodic real-time tasks executing on a multiple-resource system, however, they incur a high scheduling overhead by making schedul...
Dakai Zhu, Daniel Mossé, Rami G. Melhem
96
Voted
LREC
2010
130views Education» more  LREC 2010»
15 years 2 months ago
The Problems of Language Identification within Hugely Multilingual Data Sets
As the data for more and more languages is finding its way into digital form, with an increasing amount of this data being posted to the Web, it has become possible to collect lan...
Fei Xia, Carrie Lewis, William D. Lewis
103
Voted
ICPR
2004
IEEE
16 years 1 months ago
On-Line Adaptive Background Modelling for Audio Surveillance
In this paper, we investigate the problem of automatic audio surveillance. This aspect of the surveillance, which extends the more investigated area of video surveillance, can be ...
Marco Cristani, Manuele Bicego, Vittorio Murino