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» Modelling Immunological Memory
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PE
2000
Springer
118views Optimization» more  PE 2000»
15 years 4 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
NN
2002
Springer
137views Neural Networks» more  NN 2002»
15 years 3 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan
EMSOFT
2010
Springer
15 years 2 months ago
Nucleos: a runtime system for ultra-compact wireless sensor nodes
Nucleos is a new runtime system for ultra-lightweight embedded systems. Central to Nucleos is a dispatcher based on the concept of e threaded code, which enables layers of abstrac...
Jiwon Hahn, Pai H. Chou
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 2 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
TCOM
2010
98views more  TCOM 2010»
14 years 11 months ago
Convolutionally Coded Transmission over Markov-Gaussian Channels: Analysis and Decoding Metrics
It has been widely acknowledged that the aggregate interference at the receiver for various practical communication channels can often deviate markedly from the classical additive ...
Jeebak Mitra, Lutz H.-J. Lampe