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NC
2011
236views Neural Networks» more  NC 2011»
14 years 9 months ago
Graph multiset transformation: a new framework for massively parallel computation inspired by DNA computing
In this paper, graph multiset transformation is introduced and studied as a novel type of parallel graph transformation. The basic idea is that graph transformation rules may be ap...
Hans-Jörg Kreowski, Sabine Kuske
ACL
2007
15 years 8 months ago
Constituent Parsing with Incremental Sigmoid Belief Networks
We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
Ivan Titov, James Henderson

Book
498views
17 years 4 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
IJCNN
2007
IEEE
16 years 1 months ago
Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers
— Solvers for the Boolean satisfiability problem are an important base technology for many applications. The most efficient SAT solvers for industrial applications are based on...
Raihan H. Kibria
135
Voted
ICONIP
2004
15 years 8 months ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....