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» Machine learning in sedimentation modelling
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ICALT
2005
IEEE
16 years 4 days ago
Building Repositories of Learning Objects in Specialized Domains: The Chasqui Approach
In this paper we describe the Chasqui approach to the construction of repositories of learning objects (LO) in specific knowledge areas. This approach is the result of our experie...
José Luis Sierra, Alfredo Fernández-...
COLT
2007
Springer
16 years 21 days ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
ICML
2009
IEEE
16 years 7 months ago
Analytic moment-based Gaussian process filtering
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hane...
ICML
2008
IEEE
16 years 7 months ago
Structure compilation: trading structure for features
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
Dan Klein, Hal Daumé III, Percy Liang
ICML
2006
IEEE
16 years 7 months ago
Fast particle smoothing: if I had a million particles
We propose efficient particle smoothing methods for generalized state-spaces models. Particle smoothing is an expensive O(N2 ) algorithm, where N is the number of particles. We ov...
Mike Klaas, Mark Briers, Nando de Freitas, Arnaud ...