Sciweavers

2131 search results - page 54 / 427
» Stochastic Process Creation
Sort
View
NIPS
2001
14 years 12 days 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»
14 years 5 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
WSC
2004
14 years 11 days ago
Dependence Modeling for Stochastic Simulation
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
Bahar Biller, Soumyadip Ghosh
ICGI
1998
Springer
14 years 3 months ago
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
Peter Rossmanith, Thomas Zeugmann
EACL
1993
ACL Anthology
14 years 10 days ago
Using an Annotated Corpus as a Stochastic Grammar
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
Rens Bod