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BC
2002
193views more  BC 2002»
15 years 16 days ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
112
Voted
SCFBM
2008
101views more  SCFBM 2008»
15 years 4 days ago
The MERG Suite: Tools for discovering competencies and associated learning resources
Background: As the demands for competency-based education grow, the need for standardsbased tools to allow for publishing and discovery of competency-based learning content is mor...
Ravi Teja Bhupatiraju, William R. Hersh, Valerie S...
133
Voted
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 7 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
IJACDT
2011
125views more  IJACDT 2011»
14 years 4 months ago
Becoming Creative through Self Observation: A (Second Order) Cybernetic Learning Strategy for the Metaverse
This study wishes to describe some of the key components of an art educational domain entitled ground<c>, which is being developed specifically for three dimensional online ...
Elif E. Ayiter
103
Voted
ECCV
2006
Springer
16 years 2 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang