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Active learning of Bayes net structure with applications to gene knockout experiment design 28-Mar-2001 11:15 AM PST - 28-Mar-2001 11:45 AM PST
Showing 21 - 40 of 57 matches
Bayesian prediction using adaptive ridge estimators
Date: March 19, 2001
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Gauss mixture vector quantization: Clustering Gauss mixtures with the minimum discrimination information distortion for modeling, compression, and classification
Date: March 19, 2001
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Some experiments with ensemble methods for classification and conditional density estimation
Date: March 19, 2001
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Clustering by partial mixture estimation
Date: March 19, 2001
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Model complexity and model priors
Date: March 19, 2001
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Optimal properties and adaptive tuning of support vector machines (SVM's)
Date: March 20, 2001
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Unsupervised sparse regression
Date: March 20, 2001
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Instability in nonlinear estimation and classification
Date: March 20, 2001
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Extended linear modeling with splines
Date: March 21, 2001
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Adaptive splines and genetic algorithms with an application to classification
Date: March 21, 2001
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Mixed-effects multivariate adaptive splines models: An automated procedure for fitting longitudinal data and growth curves
Date: March 21, 2001
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Bayesian mixture splines for spatially adaptive nonparametric regression
Date: March 21, 2001
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Modeling internet traffic
Date: March 22, 2001
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A simple model for a complex system: Predicting travel times on freeways
Date: March 22, 2001
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Denoising deterministic time series
Date: March 22, 2001
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A statistical approach to quantifying the predictability of noisy nonlinear systems
Date: March 22, 2001
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Non-stationary, nonlinear classification and model selection
Date: March 22, 2001
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Semiparametric estimation of the long-memory parameter in FARIMA models
Date: March 22, 2001
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On adaptive estimation by neural nets type estimators
Date: March 23, 2001
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Fast rates and adaptation in nonparametric classification
Date: March 23, 2001
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