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» Predictive Hebbian Learning
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98
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CORR
2006
Springer
101views Education» more  CORR 2006»
15 years 3 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter
116
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PPL
2008
75views more  PPL 2008»
15 years 3 months ago
Modeling the Performance of Communication Schemes on Network Topologies
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
Jan Lemeire, Erik F. Dirkx, Walter Colitti
166
Voted
NN
2002
Springer
123views Neural Networks» more  NN 2002»
15 years 3 months ago
Neuromodulation and plasticity in an autonomous robot
In this paper we implement a computational model of a neuromodulatory system in an autonomous robot. The output of the neuromodulatory system acts as a value signal, modulating wi...
Olaf Sporns, William H. Alexander
136
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EMNLP
2010
15 years 1 months ago
Multi-Level Structured Models for Document-Level Sentiment Classification
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
Ainur Yessenalina, Yisong Yue, Claire Cardie
ICML
2009
IEEE
16 years 4 months ago
Multi-class image segmentation using conditional random fields and global classification
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
Nils Plath, Marc Toussaint, Shinichi Nakajima