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» Combinatory Models and Symbolic Computation
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FLAIRS
2007
14 years 5 days ago
An Extended Neural Gas Model for Efficient Data Mining Tasks
This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behave...
Jean-Charles Lamirel, Shadi Al Shehabi
NPL
1998
133views more  NPL 1998»
13 years 9 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
ALENEX
2004
116views Algorithms» more  ALENEX 2004»
13 years 11 months ago
A Computational Framework for Handling Motion
We present a framework for implementing geometric algorithms involving motion. It is written in C++ and modeled after and makes extensive use of CGAL (Computational Geometry Algor...
Leonidas J. Guibas, Menelaos I. Karavelas, Daniel ...
HYBRID
2003
Springer
14 years 3 months ago
Automated Symbolic Reachability Analysis; with Application to Delta-Notch Signaling Automata
Abstract. This paper describes the implementation of predicate abstraction techniques to automatically compute symbolic backward reachable sets of high dimensional piecewise affine...
Ronojoy Ghosh, Ashish Tiwari, Claire Tomlin
ICAISC
2010
Springer
13 years 12 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...