'Linear basis function model' presentation slideshows

Linear basis function model - PowerPoint PPT Presentation

Feedback from last week

Feedback from last week

Feedback from last week. Too much slides / Too much information in too little time ? AI is a complex topic with different subjects ? Overall lecture is not enough time (1.5h + Practice)

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647 views • 63 slides
Previously summarized by Yung-Kyun Noh Updated and presented by Rhee, Je-Keun

Previously summarized by Yung-Kyun Noh Updated and presented by Rhee, Je-Keun

Ch 3. Linear Models for Regression (2/2) Pattern Recognition and Machine Learning, C. M. Bishop, 2006. Previously summarized by Yung-Kyun Noh Updated and presented by Rhee, Je-Keun Biointelligence Laboratory, Seoul National University http://bi.snu.ac.kr/. Contents.

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244 views • 14 slides
Previously summarized by Yung-Kyun Noh Updated and presented by Rhee, Je-Keun

Previously summarized by Yung-Kyun Noh Updated and presented by Rhee, Je-Keun

Ch 3. Linear Models for Regression (2/2) Pattern Recognition and Machine Learning, C. M. Bishop, 2006. Previously summarized by Yung-Kyun Noh Updated and presented by Rhee, Je-Keun Biointelligence Laboratory, Seoul National University http://bi.snu.ac.kr/. Contents.

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152 views • 14 slides
Summarized by Yung-Kyun Noh Biointelligence Laboratory, Seoul National University

Summarized by Yung-Kyun Noh Biointelligence Laboratory, Seoul National University

Ch 3. Linear Models for Regression (2/2) Pattern Recognition and Machine Learning, C. M. Bishop, 2006. Summarized by Yung-Kyun Noh Biointelligence Laboratory, Seoul National University http://bi.snu.ac.kr/. Contents. 3.4 Bayesian Model Comparison 3.5 The Evidence Approximation

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265 views • 12 slides
Summarized by Yung-Kyun Noh Biointelligence Laboratory, Seoul National University

Summarized by Yung-Kyun Noh Biointelligence Laboratory, Seoul National University

Ch 3. Linear Models for Regression (2/2) Pattern Recognition and Machine Learning, C. M. Bishop, 2006. Summarized by Yung-Kyun Noh Biointelligence Laboratory, Seoul National University http://bi.snu.ac.kr/. Contents. 3.4 Bayesian Model Comparison 3.5 The Evidence Approximation

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129 views • 12 slides

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