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ICML
2009
IEEE
14 years 8 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
CAD
2006
Springer
13 years 7 months ago
Robust parameter synthesis for planar higher pair mechanical systems
We present a parameter synthesis algorithm for planar, higher pair mechanical systems. The input is a parametric model of a mechanical system (part shapes and configurations) with...
Min-Ho Kyung, Elisha Sacks
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
14 years 1 months ago
Extending XCSF beyond linear approximation
XCSF is the extension of XCS in which classifier prediction is computed as a linear combination of classifier inputs and a weight vector associated to each classifier. XCSF can...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
CAEPIA
2003
Springer
14 years 1 months ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto
ANSS
2005
IEEE
14 years 1 months ago
Approximation of Discrete Phase-Type Distributions
The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state space-based methods. The behavior of the model is described ...
Claudia Isensee, Graham Horton