Sciweavers

9886 search results - page 63 / 1978
» Learning Compressible Models
Sort
View
ICASSP
2011
IEEE
14 years 10 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
SIGIR
2008
ACM
15 years 6 months ago
Compressed collections for simulated crawling
Collections are a fundamental tool for reproducible evaluation of information retrieval techniques. We describe a new method for distributing the document lengths and term counts ...
Alessio Orlandi, Sebastiano Vigna
TSP
2010
15 years 1 months ago
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
Minhua Chen, Jorge Silva, John William Paisley, Ch...
EUROGP
2000
Springer
15 years 10 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
JMLR
2010
100views more  JMLR 2010»
15 years 1 months ago
Parametric Herding
A parametric version of herding is formulated. The nonlinear mapping between consecutive time slices is learned by a form of self-supervised training. The resulting dynamical syst...
Yutian Chen, Max Welling