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NIPS
2008
15 years 1 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
130
Voted
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 5 months ago
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping
Evolutionary relationships among species can be represented by a phylogenetic tree and inferred by optimising some measure of fitness, such as the statistical likelihood of the t...
Leon Poladian
IDA
1999
Springer
15 years 3 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley
81
Voted
AAAI
1993
15 years 1 months ago
Numerical Behavior Envelopes for Qualitative Models
Semiquantitative models combine both qualitative and quantitative knowledge within a single semiquantitative qualitative differential equation (SQDE) representation. With current ...
Herbert Kay, Benjamin Kuipers
ACRI
2004
Springer
15 years 5 months ago
A Hybrid Discrete-Continuum Model for 3-D Skeletogenesis of the Vertebrate Limb
We present a dynamic, three-dimensional, composite model framework for vertebrate development. Our integrated model combines submodels that address length-scales from subcellular t...
Rajiv Chaturvedi, Chengbang Huang, Jesús A....