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» Collaborative Filtering Using Associative Neural Memory
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DEBU
2008
186views more  DEBU 2008»
13 years 7 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
JOCN
2010
86views more  JOCN 2010»
13 years 5 months ago
Neural Basis of Repetition Priming during Mathematical Cognition: Repetition Suppression or Repetition Enhancement?
■ We investigated the neural basis of repetition priming (RP) during mathematical cognition. Previous studies of RP have focused on repetition suppression as the basis of behavi...
Valorie N. Salimpoor, Catie Chang, Vinod Menon
UMC
2000
13 years 11 months ago
In-vitro Transcriptional Circuits
The structural similarity of neural networks and genetic regulatory networks to digital circuits, and hence to each other, was noted from the very beginning of their study [1, 2]....
Erik Winfree
VLDB
2002
ACM
193views Database» more  VLDB 2002»
13 years 7 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
IPAS
2010
13 years 9 months ago
A memory-efficient and time-consistent filtering of depth map sequences
View plus depth` is a 3D video representation where a single color video channel is augmented with per-pixel depth information in the form of gray-scale video sequence. This repre...
Sergey Smirnov, Atanas P. Gotchev, Karen O. Egiaza...