
000 | 00000cam u2200205 a 4500 | |
001 | 000045864972 | |
005 | 20160314163613 | |
008 | 160314s2014 maua b 001 0 eng d | |
010 | ▼a 2014007214 | |
020 | ▼a 9780262028189 (hardcover) | |
020 | ▼a 0262028182 (hardcover) | |
035 | ▼a (KERIS)REF000017709312 | |
040 | ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d 211009 | |
050 | 0 0 | ▼a Q325.5 ▼b .A46 2014 |
082 | 0 0 | ▼a 006.3/1 ▼2 23 |
084 | ▼a 006.31 ▼2 DDCK | |
090 | ▼a 006.31 ▼b A456i3 | |
100 | 1 | ▼a Alpaydin, Ethem. |
245 | 1 0 | ▼a Introduction to machine learning / ▼c Ethem Alpaydin. |
250 | ▼a 3rd ed. | |
260 | ▼a Cambridge, Massachusetts : ▼b The MIT Press, ▼c c2014. | |
300 | ▼a xxii, 613 p. : ▼b ill. ; ▼c 24 cm. | |
490 | 1 | ▼a Adaptive computation and machine learning |
504 | ▼a Includes bibliographical references (p. 203) and index. | |
505 | 0 0 | ▼g Introduction -- ▼t Supervised learning -- ▼t Bayesian decision theory -- ▼t Parametric methods -- ▼t Multivariate methods -- ▼t Dimensionality reduction -- ▼t Clustering -- ▼t Nonparametric methods -- ▼t Decision trees -- ▼t Linear discrimination -- ▼t Multilayer perceptrons -- ▼t Local models -- ▼t Kernel machines -- Graphical models -- ▼t Hidden markov models -- ▼t Bayesian estimation -- ▼t Combining multiple learners -- ▼t Reinforcement learning -- ▼t Design and analysis of machine learning experiments. |
650 | 0 | ▼a Machine learning. |
830 | 0 | ▼a Adaptive computation and machine learning. |
945 | ▼a KLPA |
Holdings Information
No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
---|---|---|---|---|---|---|---|
No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.31 A456i3 | Accession No. 121235995 | Availability Available | Due Date | Make a Reservation | Service |
No. 2 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.31 A456i3 | Accession No. 121238695 | Availability Available | Due Date | Make a Reservation | Service |
No. 3 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.31 A456i3 | Accession No. 121246546 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Author Introduction
Table of Contents
Intro -- Brief Contents -- Contents -- Preface -- Notations -- 1 Introduction -- 2 Supervised Learning -- 3 Bayesian Decision Theory -- 4 Parametric Methods -- 5 Multivariate Methods -- 6 Dimensionality Reduction -- 7 Clustering -- 8 Nonparametric Methods -- 9 Decision Trees -- 10 Linear Discrimination -- 11 Multilayer Perceptrons -- 12 Local Models -- 13 Kernel Machines -- 14 Graphical Models -- 15 Hidden Markov Models -- 16 Bayesian Estimation -- 17 Combining Multiple Learners -- 18 Reinforcement Learning -- 19 Design and Analysis of Machine Learning Experiments -- A Probability -- Index -- .