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The top documents tagged [mit press v1]

Combining Multiple Learners Ethem Chp. 15 Haykin Chp. 7, pp. 351-370
Combining Multiple Learners Ethem Chp. 15 Haykin Chp. 7, pp. 351-370
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ETHEM ALPAYDIN © The MIT Press, 2010 alpaydin@boun.edu.tr ethem/i2ml2e Lecture Slides for
ETHEM ALPAYDIN © The MIT Press, 2010 [email protected] ethem/i2ml2e Lecture Slides for
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Machine Learning CSE 681 CH1 - INTRODUCTION. INTRODUCTION TO Machine Learning 2nd Edition ETHEM ALPAYDIN © The MIT Press, 2010 alpaydin@boun.edu.tr ethem/i2ml2e
Machine Learning CSE 681 CH1 - INTRODUCTION. INTRODUCTION TO Machine Learning 2nd Edition ETHEM ALPAYDIN © The MIT Press, 2010 [email protected] ethem/i2ml2e
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classifier
classifier
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Lecture Notes for E Alpaydın 2010 Introduction to Machine Learning 2e © The MIT Press (V1.0) ETHEM ALPAYDIN © The MIT Press, 2010 alpaydin@boun.edu.tr
Lecture Notes for E Alpaydın 2010 Introduction to Machine Learning 2e © The MIT Press (V1.0) ETHEM ALPAYDIN © The MIT Press, 2010 [email protected]
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Neural network architectures and learning algorithms Author : Bogdan M. Wilamowski Source : IEEE INDUSTRIAL ELECTRONICS MAGAZINE Date : 2011/11/22 Presenter
Neural network architectures and learning algorithms Author : Bogdan M. Wilamowski Source : IEEE INDUSTRIAL ELECTRONICS MAGAZINE Date : 2011/11/22 Presenter
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CHAPTER 16: Reinforcement Learning. Lecture Notes for E Alpaydın 2004 Introduction to Machine Learning © The MIT Press (V1.1) 2 Introduction Game-playing:
CHAPTER 16: Reinforcement Learning. Lecture Notes for E Alpaydın 2004 Introduction to Machine Learning © The MIT Press (V1.1) 2 Introduction Game-playing:
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Data mining in 1D: curve fitting Related material in lecture 8 on amlbook.com
Data mining in 1D: curve fitting Related material in lecture 8 on amlbook.com
214 views
MACHINE LEARNING 1. Introduction. What is Machine Learning? Based on E Alpaydın 2004 Introduction to Machine Learning © The MIT Press (V1.1) 2 Need
MACHINE LEARNING 1. Introduction. What is Machine Learning? Based on E Alpaydın 2004 Introduction to Machine Learning © The MIT Press (V1.1) 2 Need
223 views
Finding disease specific signatures in blood gene expression data Group meeting Jan 2011
Finding disease specific signatures in blood gene expression data Group meeting Jan 2011
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Feasibility of learning: the issues solution for infinite hypothesis sets VC generalization bound (mostly lecture 5 on AMLbook.com)
Feasibility of learning: the issues solution for infinite hypothesis sets VC generalization bound (mostly lecture 5 on AMLbook.com)
214 views
Assessing and Comparing Classification Algorithms Introduction Resampling and Cross Validation Measuring Error Interval Estimation and Hypothesis Testing
Assessing and Comparing Classification Algorithms Introduction Resampling and Cross Validation Measuring Error Interval Estimation and Hypothesis Testing
237 views