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ICAISC
2010
Springer
15 years 8 months ago
Computer Assisted Peptide Design and Optimization with Topology Preserving Neural Networks
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
Jörg D. Wichard, Sebastian Bandholtz, Carsten...
IJCNN
2007
IEEE
16 years 26 days ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz
NCA
2006
IEEE
16 years 17 days ago
Congestion Control for Distributed Hash Tables
Distributed Hash Tables (DHTs) provide a scalable mechanism for mapping identifiers to socket addresses. As each peer in the network can initiate lookup requests, a DHT has to pr...
Fabius Klemm, Jean-Yves Le Boudec, Karl Aberer
DMSN
2004
ACM
15 years 12 months ago
Optimization of in-network data reduction
We consider the in-network computation of approximate “big picture” summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavele...
Joseph M. Hellerstein, Wei Wang
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 11 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon