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Bayesian Predictive Inference and Feature Selection for High-Dimensional Data
Juho Piironen
Department of Computer Science
Probabilistic Machine Learning
Professorship Vehtari Aki
Research output
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Thesis
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Doctoral Thesis
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Collection of Articles
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Dive into the research topics of 'Bayesian Predictive Inference and Feature Selection for High-Dimensional Data'. Together they form a unique fingerprint.
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Computer Science
High Dimensional Data
100%
Feature Selection
100%
Models
71%
Predictive Model
42%
Prediction Model
28%
Machine Learning
14%
Gaussian Process
14%
Statistics
14%
References
14%
Process Model
14%
Computation
14%
Sparsity
14%
Dimension Reduction
14%
Supervised Learning
14%
Learning Problem
14%
Regularization
14%
Predictive Accuracy
14%
Prediction Accuracy
14%
Learning Community
14%
Economics, Econometrics and Finance
Bayesian
100%
Price
14%
Learning
14%
Information
14%
Gaussian Process
14%
Joint Production
14%
Generalized Linear Model
14%
Machine Learning
14%