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» Collaborative Filtering Using Associative Neural Memory
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ESANN
2006
13 years 8 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
IJCNN
2007
IEEE
14 years 1 months ago
Incorporating Forgetting in a Category Learning Model
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
Yasuaki Sakamoto, Toshihiko Matsuka
ARCS
2006
Springer
13 years 11 months ago
Efficient System-on-Chip Energy Management with a Segmented Bloom Filter
As applications tend to grow more complex and use more memory, the demand for cache space increases. Thus embedded processors are inclined to use larger caches. Predicting a miss i...
Mrinmoy Ghosh, Emre Özer, Stuart Biles, Hsien...
CONEXT
2009
ACM
13 years 8 months ago
BUFFALO: bloom filter forwarding architecture for large organizations
In enterprise and data center networks, the scalability of the data plane becomes increasingly challenging as forwarding tables and link speeds grow. Simply building switches with...
Minlan Yu, Alex Fabrikant, Jennifer Rexford
SBRN
2000
IEEE
13 years 11 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...