Sciweavers

656 search results - page 16 / 132
» Symbolic computing of nonlinear observable and observer form...
Sort
View
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 1 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
ICSE
2008
IEEE-ACM
14 years 8 months ago
Symbolic mining of temporal specifications
Program specifications are important in many phases of the software development process, but they are often omitted or incomplete. An important class of specifications takes the f...
Mark Gabel, Zhendong Su
BIRTHDAY
2008
Springer
13 years 9 months ago
Models of Computation: A Tribute to Ugo Montanari's Vision
e [43] is the first paper on final, observational semantics in abstract data types, and the main reference for one of the MoC contributed papers in this volume. It presented severa...
Roberto Bruni, Vladimiro Sassone
PAMI
2008
182views more  PAMI 2008»
13 years 7 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
13 years 8 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...