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ICANN
1997
Springer
15 years 10 months ago
Correlation Coding in Stochastic Neural Networks
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
Raphael Ritz, Terrence J. Sejnowski
MVA
2007
15 years 8 months ago
Semi-supervised Incremental Learning of Manipulative Tasks
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sa...
AAAI
1990
15 years 7 months ago
Exploiting Locality in a TMS
This paper presents a new approach for exploiting Truth Maintenance Systems(TMSs) which makes them simpler to use without necessarily incurring a substantial performance penalty. ...
Johan de Kleer
JMLR
2008
188views more  JMLR 2008»
15 years 6 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
IVC
2010
128views more  IVC 2010»
15 years 5 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis