Open Access
Pattern Recognition and Machine Learning
Christopher M. Bishop
- Vol. 738, Iss: 1
TLDR
Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.Abstract:
Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.read more
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References
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Shinya Yasuda,Synge Todo +1 more
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