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» System modeling with mixed object and data models
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JMLR
2012
13 years 6 months ago
Adaptive MCMC with Bayesian Optimization
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando d...
AAAI
2006
15 years 5 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
BMCBI
2011
14 years 7 months ago
Genotype calling in tetraploid species from bi-allelic marker data using mixture models
Background: Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, ...
Roeland E. Voorrips, Gerrit Gort, Ben Vosman
ICVS
2001
Springer
15 years 8 months ago
Adapting Object Recognition across Domains: A Demonstration
High-level vision systems use object, scene or domain specific knowledge to interpret images. Unfortunately, this knowledge has to be acquired for every domain. This makes it diffi...
Bruce A. Draper, Ulrike Ahlrichs, Dietrich Paulus
JOT
2007
123views more  JOT 2007»
15 years 4 months ago
The Systems Modeling Language for Products and Systems Development
In this paper we present an overview of the capabilities of the Systems Modeling Language (SysML.) SysML is a standard from the Object Management Group. It is geared toward increm...
Laurent Balmelli