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NIPS
2001
15 years 7 months ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 11 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
LISP
2006
117views more  LISP 2006»
15 years 5 months ago
About permutation algebras, (pre)sheaves and named sets
In this paper we survey some well-known approaches proposed as general models for calculi dealing with names (like for example process calculi with name-passing). We focus on (pre)...
Fabio Gadducci, Marino Miculan, Ugo Montanari
FUIN
2008
93views more  FUIN 2008»
15 years 5 months ago
An Algebraic Framework for Defining Random Concurrent Behaviours
Abstract. The paper is devoted to characterizing systems with random behaviours. The characterization is based on considering systems in terms of their possible runs, called proces...
Józef Winkowski
JLP
2006
138views more  JLP 2006»
15 years 5 months ago
Algebraic-coalgebraic specification in CoCasl
We introduce CoCasl as a light-weight but expressive coalgebraic extension of the algebraic specification language Casl. CoCasl allows the nested combination of algebraic datatype...
Till Mossakowski, Lutz Schröder, Markus Rogge...