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» Solution Methods for a New Class of Simple Model Neurons
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CDC
2008
IEEE
14 years 1 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
AUSAI
2009
Springer
14 years 1 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila
ICGA
1997
89views Optimization» more  ICGA 1997»
13 years 8 months ago
A Wave Analysis of the Subset Sum Problem
This paper introduces the wave model, a novel approach on analyzing the behavior of GAs. Our aim is to give techniques that have practical relevance and provide tools for improvin...
Márk Jelasity
ECOOP
2009
Springer
14 years 8 months ago
Featherweight Jigsaw: A Minimal Core Calculus for Modular Composition of Classes
We present FJig, a simple calculus where basic building blocks are classes in the style of Featherweight Java, declaring elds, methods and one constructor. However, inheritance has...
Giovanni Lagorio, Marco Servetto, Elena Zucca
MOC
2010
13 years 2 months ago
A projection-based error analysis of HDG methods
Abstract. We introduce a new technique for the error analysis of hybridizable discontinuous Galerkin (HDG) methods. The technique relies on the use of a new projection whose design...
Bernardo Cockburn, Jayadeep Gopalakrishnan, Franci...