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PIMRC
2008
IEEE
16 years 27 days ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
EVOW
2000
Springer
15 years 10 months ago
Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
Paul L. Rosin, Henry O. Nyongesa
NIPS
2008
15 years 8 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
MMSEC
2006
ACM
213views Multimedia» more  MMSEC 2006»
16 years 14 days ago
Parameter optimization for biometric fingerprint recognition using genetic algorithms
In this paper, we suggest an optimization approach for fingerprint authentication using genetic algorithms. Our application was planned so that it can be used without great effort...
Tobias Scheidat, Andreas Engel, Claus Vielhauer
NIPS
2008
15 years 8 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake