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» Reasoning from Data Rather than Theory
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NIPS
2004
13 years 10 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
CIKM
1997
Springer
14 years 1 months ago
Analysis and Design of Server Informative WWW-Sites
The access patterns of the users of a web-site are traditionally analyzed in order to facilitate the user access to the site's information. In this study, however, a systemat...
Amir M. Zarkesh, Jafar Adibi, Cyrus Shahabi, Reza ...
COGSCI
2010
134views more  COGSCI 2010»
13 years 9 months ago
A Model of Knower-Level Behavior in Number Concept Development
We develop and evaluate a model of behavior on the Give-N task, a commonly used measure of young children's number knowledge. Our model uses the knower-level theory of how ch...
Michael D. Lee, Barbara W. Sarnecka
JOCN
2010
87views more  JOCN 2010»
13 years 3 months ago
Age-related Neural Changes during Memory Conjunction Errors
Human behavioral studies demonstrate that healthy aging is often accompanied by increases in memory distortions or errors. Here we used event-related fMRI to examine the neural ba...
Kelly S. Giovanello, Elizabeth A. Kensinger, Alana...
COMPUTER
2007
93views more  COMPUTER 2007»
13 years 9 months ago
The Computing Profession and Higher Education
not things, but abstractions that represent things. Data use provides human civilization’s foundation, and computers and other digital technologies have merely amplified this us...
W. Neville Holmes