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ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 7 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
14 years 18 days ago
Estimating the distribution and propagation of genetic programming building blocks through tree compression
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
Robert I. McKay, Xuan Hoai Nguyen, James R. Cheney...
GECCO
2005
Springer
170views Optimization» more  GECCO 2005»
14 years 1 months ago
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information
A new approach based on Estimation Distribution Algorithms for constrained multiobjective shape optimization is proposed in this article. Pareto dominance and feasibility rules ar...
Sergio Ivvan Valdez Peña, Salvador Botello ...
ICASSP
2010
IEEE
13 years 8 months ago
Distributed bearing estimation via matrix completion
We consider bearing estimation of multiple narrow-band plane waves impinging on an array of sensors. For this problem, bearing estimation algorithms such as minimum variance disto...
Andrew Waters, Volkan Cevher
CSDA
2011
13 years 3 months ago
Inferences on Weibull parameters with conventional type-I censoring
In this article we consider the statistical inferences of the unknown parameters of a Weibull distribution when the data are Type-I censored. It is well known that the maximum lik...
Avijit Joarder, Hare Krishna, Debasis Kundu