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» Approximate Learning of Dynamic Models
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ICDS
2009
IEEE
16 years 1 months ago
Anticipating the Digital University
The University of the Digital Society is based on interactions that facilitate learning in a new pragmatic context. Catalysts involved in the learning process replace the traditio...
Mihai Nadin
CEC
2007
IEEE
16 years 19 days 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...
153
Voted
ICC
2007
IEEE
126views Communications» more  ICC 2007»
16 years 18 days ago
Responsiveness on the Interactive Grid
The Grid vision promises the secure and dynamic sharing of heterogeneous resources across the Internet. To date the emphasis has been on supercomputing scenarios where a relatively...
Colin Allison, Stuart D. J. Purdie, Alan Miller
ICMLA
2009
15 years 4 months ago
A Syllable-Level Probabilistic Framework for Bird Species Identification
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 6 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...