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» On the Learnability of Vector Spaces
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JCC
2008
88views more  JCC 2008»
13 years 8 months ago
A self-organizing algorithm for molecular alignment and pharmacophore development
Abstract: We present a method for simultaneous three-dimensional (3D) structure generation and pharmacophorebased alignment using a self-organizing algorithm called Stochastic Prox...
Deepak Bandyopadhyay, Dimitris K. Agrafiotis
BC
2005
101views more  BC 2005»
13 years 8 months ago
A control theory approach to the analysis and synthesis of the experimentally observed motion primitives
Recent experiments on frogs and rats, have led to the hypothesis that sensory-motor systems are organized into a finite number of linearly combinable modules; each module generates...
Francesco Nori, Ruggero Frezza
NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 8 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
TC
1998
13 years 8 months ago
Abstraction Techniques for Validation Coverage Analysis and Test Generation
ion Techniques for Validation Coverage Analysis and Test Generation Dinos Moundanos, Jacob A. Abraham, Fellow, IEEE, and Yatin V. Hoskote —The enormous state spaces which must be...
Dinos Moundanos, Jacob A. Abraham, Yatin Vasant Ho...
SIAMIS
2010
176views more  SIAMIS 2010»
13 years 6 months ago
Optimized Conformal Surface Registration with Shape-based Landmark Matching
Surface registration, which transforms different sets of surface data into one common reference space, is an important process which allows us to compare or integrate the surface ...
Lok Ming Lui, Sheshadri R. Thiruvenkadam, Yalin Wa...