标题：机器学习应用与趋势研究手册
基本信息
中文名: 机器学习应用与趋势研究手册
原名: Handbook Of Research On Machine Learning Applications and Trends
作者: Emilio Soria Olivas
图书分类: 教育/科技
出版社: Information Science Reference
书号: 1605667668
发行时间: 2009年09月04日
地区: 美国
语言: 英文  
内容简介
当数据量非常大且一个模型不能解释数据集的生成和关系时,机器学习方法提供了一种有用的工具.本书提供了一套在自动化数据提取与配置中解决问题和运用各种技术的实际应用,填补了理论与实践的鸿沟.
图书目录
Volume I
Chapter 1
Exploring the Unknown Nature of Data: Cluster Analysis and Applications .........................................1
Rui Xu, Missouri University of Science and Technology, USA
Donald C. Wunsch II, Missouri University of Science and Technology, USA
Chapter 2
Principal Graphs and Manifolds ...........................................................................................................28
Alexander N. Gorban, University of Leicester, UK
Andrei Y. Zinovyev, Institut Curie, France
Chapter 3
Learning Algorithms for RBF Functions and Subspace Based Functions ............................................60
Lei Xu, Chinese University of Hong Kong and Beijing University, PR China
Chapter 4
Nature Inspired Methods for Multi-Objective Optimization ................................................................95
Sanjoy Das, Kansas State University, USA
Bijaya K. Panigrahi, Indian Institute of Technology, India
Shyam S. Pattnaik, National Institute of Technical Teachers’ Training & Research, India
Chapter 5
Artifcial Immune Systems for Anomaly Detection ............................................................................109
Eduard Plett, Kansas State University at Salina, USA
Sanjoy Das, Kansas State University, USA
Dapeng Li, Kansas State University, USA
Bijaya K. Panigrahi, Indian Institute of Technology, India
Chapter 6
Calibration of Machine Learning Models ...........................................................................................128
Antonio Bella, Universidad Politécnica de Valencia, Spain
Cèsar Ferri, Universidad Politécnica de Valencia, Spain
José Hernández-Orallo, Universidad Politécnica de Valencia, Spain
María José Ramírez-Quintana, Universidad Politécnica de Valencia, Spain
Chapter 7
Classifcation with Incomplete Data ...................................................................................................147
Pedro J. García-Laencina, Universidad Politécnica de Cartagena, Spain
Juan Morales-Sánchez, Universidad Politécnica de Cartagena, Spain
Rafael Verdú-Monedero, Universidad Politécnica de Cartagena, Spain
Jorge Larrey-Ruiz, Universidad Politécnica de Cartagena, Spain
José-Luis Sancho-Gómez, Universidad Politécnica de Cartagena, Spain
Aníbal R. Figueiras-Vidal, Universidad Carlos III de Madrid, Spain
Chapter 8
Clustering and Visualization of Multivariate Time Series ..................................................................176
Alfredo Vellido, Universidad Politécnica de Catalu&ntilde;a, Spain
Iván Olier, Universidad Politécnica de Catalu&ntilde;a, Spain
Chapter 9
Locally Recurrent Neural Networks and Their Applications..............................................................195
Todor D. Ganchev, University of Patras, Greece
Chapter 10
Nonstationary Signal Analysis with Kernel Machines .......................................................................223
Paul Honeine, Institut Charles Delaunay, France
Cédric Richard, Institut Charles Delaunay, France
Patrick Flandrin, Ecole Normale Supérieure de Lyon, France
Chapter 11
Transfer Learning ................................................................................................................................242
Lisa Torrey, University of Wisconsin, USA
Jude Shavlik, University of Wisconsin, USA
Chapter 12
Machine Learning in Personalized Anemia Treatment .......................................................................265
Adam E. Gaweda, University of Louisville, USA
Chapter 13
Deterministic Pattern Mining On Genetic Sequences ........................................................................277
Pedro Gabriel Ferreira, Centre for Genomic Regulation, Spain
Paulo Jorge Azevedo, Universidade do Minho, Portugal
Volume II
Chapter 14
Machine Learning in Natural Language Processing ...........................................................................302
Marina Sokolova, CHEO Research Institute, Canada
Stan Szpakowicz, University of Ottawa, Canada and Polish Academy of Sciences, Poland
Chapter 15
Machine Learning Applications in Mega-Text Processing .................................................................325
Marina Sokolova, CHEO Research Institute, Canada
Stan Szpakowicz, University of Ottawa, Canada and Polish Academy of Sciences, Poland
Chapter 16
FOL Learning for Knowledge Discovery in Documents ....................................................................348
Stefano Ferilli, Università degli Studi di Bari, Italy
Floriana Esposito, Università degli Studi di Bari, Italy
Marenglen Biba, Università degli Studi di Bari, Italy
Teresa M. A. Basile, Università degli Studi di Bari, Italy
Nicola Di Mauro, Università degli Studi di Bari, Italy
Chapter 17
Machine Learning and Financial Investing .........................................................................................375
Jie Du, UMBC, USA
Roy Rada, UMBC, USA
Chapter 18
Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products .......387
Yong Yu, The Hong Kong Polytechnic University, Hong Kong
Tsan-Ming Choi, The Hong Kong Polytechnic University, Hong Kong
Kin-Fan Au, The Hong Kong Polytechnic University, Hong Kong
Zhan-Li Sun, The Hong Kong Polytechnic University, Hong Kong
Volume I
Chapter 1
Exploring the Unknown Nature of Data: Cluster Analysis and Applications .........................................1
Rui Xu, Missouri University of Science and Technology, USA
Donald C. Wunsch II, Missouri University of Science and Technology, USA
Chapter 2
Principal Graphs and Manifolds ...........................................................................................................28
Alexander N. Gorban, University of Leicester, UK
Andrei Y. Zinovyev, Institut Curie, France
Chapter 3
Learning Algorithms for RBF Functions and Subspace Based Functions ............................................60
Lei Xu, Chinese University of Hong Kong and Beijing University, PR China
Chapter 4
Nature Inspired Methods for Multi-Objective Optimization ................................................................95
Sanjoy Das, Kansas State University, USA
Bijaya K. Panigrahi, Indian Institute of Technology, India
Shyam S. Pattnaik, National Institute of Technical Teachers’ Training & Research, India
Chapter 5
Artifcial Immune Systems for Anomaly Detection ............................................................................109
Eduard Plett, Kansas State University at Salina, USA
Sanjoy Das, Kansas State University, USA
Dapeng Li, Kansas State University, USA
Bijaya K. Panigrahi, Indian Institute of Technology, India
Chapter 6
Calibration of Machine Learning Models ...........................................................................................128
Antonio Bella, Universidad Politécnica de Valencia, Spain
Cèsar Ferri, Universidad Politécnica de Valencia, Spain
José Hernández-Orallo, Universidad Politécnica de Valencia, Spain
María José Ramírez-Quintana, Universidad Politécnica de Valencia, Spain
Chapter 7
Classifcation with Incomplete Data ...................................................................................................147
Pedro J. García-Laencina, Universidad Politécnica de Cartagena, Spain
Juan Morales-Sánchez, Universidad Politécnica de Cartagena, Spain
Rafael Verdú-Monedero, Universidad Politécnica de Cartagena, Spain
Jorge Larrey-Ruiz, Universidad Politécnica de Cartagena, Spain
José-Luis Sancho-Gómez, Universidad Politécnica de Cartagena, Spain
Aníbal R. Figueiras-Vidal, Universidad Carlos III de Madrid, Spain
Chapter 8
Clustering and Visualization of Multivariate Time Series ..................................................................176
Alfredo Vellido, Universidad Politécnica de Catalu&ntilde;a, Spain
Iván Olier, Universidad Politécnica de Catalu&ntilde;a, Spain
Chapter 9
Locally Recurrent Neural Networks and Their Applications..............................................................195
Todor D. Ganchev, University of Patras, Greece
Chapter 10
Nonstationary Signal Analysis with Kernel Machines .......................................................................223
Paul Honeine, Institut Charles Delaunay, France
Cédric Richard, Institut Charles Delaunay, France
Patrick Flandrin, Ecole Normale Supérieure de Lyon, France
Chapter 11
Transfer Learning ................................................................................................................................242
Lisa Torrey, University of Wisconsin, USA
Jude Shavlik, University of Wisconsin, USA
Chapter 12
Machine Learning in Personalized Anemia Treatment .......................................................................265
Adam E. Gaweda, University of Louisville, USA
Chapter 13
Deterministic Pattern Mining On Genetic Sequences ........................................................................277
Pedro Gabriel Ferreira, Centre for Genomic Regulation, Spain
Paulo Jorge Azevedo, Universidade do Minho, Portugal
Volume II
Chapter 14
Machine Learning in Natural Language Processing ...........................................................................302
Marina Sokolova, CHEO Research Institute, Canada
Stan Szpakowicz, University of Ottawa, Canada and Polish Academy of Sciences, Poland
Chapter 15
Machine Learning Applications in Mega-Text Processing .................................................................325
Marina Sokolova, CHEO Research Institute, Canada
Stan Szpakowicz, University of Ottawa, Canada and Polish Academy of Sciences, Poland
Chapter 16
FOL Learning for Knowledge Discovery in Documents ....................................................................348
Stefano Ferilli, Università degli Studi di Bari, Italy
Floriana Esposito, Università degli Studi di Bari, Italy
Marenglen Biba, Università degli Studi di Bari, Italy
Teresa M. A. Basile, Università degli Studi di Bari, Italy
Nicola Di Mauro, Università degli Studi di Bari, Italy
Chapter 17
Machine Learning and Financial Investing .........................................................................................375
Jie Du, UMBC, USA
Roy Rada, UMBC, USA
Chapter 18
Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products .......387
Yong Yu, The Hong Kong Polytechnic University, Hong Kong
Tsan-Ming Choi, The Hong Kong Polytechnic University, Hong Kong
Kin-Fan Au, The Hong Kong Polytechnic University, Hong Kong
Zhan-Li Sun, The Hong Kong Polytechnic University, Hong Kong
Chapter 19
Support Vector Machine based Hybrid Classifers and Rule Extraction thereof:
Application to Bankruptcy Prediction in Banks .................................................................................404
M. A. H. Farquad, Institute for Development and Research in Banking Technology (IDRBT),
India and University of Hyderabad, India
V. Ravi, Institute for Development and Research in Banking Technology (IDRBT), India
Raju S. Bapi, University of Hyderabad, India
Chapter 20
Data Mining Experiences in Steel Industry ........................................................................................427
Joaquín Ordieres-Meré, Universidad Politécnica de Madrid, Spain
Ana González-Marcos, Universidad de La Rioja, Spain
Manuel Castejón-Limas, Universidad de León, Spain
Francisco J. Martínez-de-Pisón, Universidad de La Rioja, Spain
Chapter 21
Application of Neural Networks in Animal Science ...........................................................................440
Emilio Soria, Valencia University, Spain
Carlos Fernández, Valencia Polytechnic University, Spain
Antonio J. Serrano, Valencia University, Spain
Marcelino Martínez, Valencia University, Spain
José R. Magdalena, Valencia University, Spain
Juan F. Guerrero, Valencia University, Spain
Chapter 22
Statistical Machine Learning Approaches for Sports Video Mining Using Hidden
Markov Models ...................................................................................................................................457
Guoliang Fan, Oklahoma State University, USA
Yi Ding, Oklahoma State University, USA
Chapter 23
A Survey of Bayesian Techniques in Computer Vision ......................................................................482
José Blasco, Instituto Valenciano de Investigaciones Agrarias (IVIA), Spain
Nuria Aleixos, Polytechnic University of Valencia, Spain
Juan Gómez-Sanchis, University of Valencia, Spain
Juan F. Guerrero, University of Valencia, Spain
Enrique Moltó, Instituto Valenciano de Investigaciones Agrarias (IVIA), Spain
Chapter 24
Software Cost Estimation using Soft Computing Approaches ...........................................................499
K. Vinaykumar, Institute for Development and Research in Banking Technology (IDRBT), India
V. Ravi, Institute for Development and Research in Banking Technology (IDRBT), India
Mahil Carr, Institute for Development and Research in Banking Technology (IDRBT), India
Chapter 25
Counting the Hidden Defects in Software Documents .......................................................................519
Frank Padberg, Saarland University, Germany
Chapter 26
Machine Learning for Biometrics .......................................................................................................539
Albert Ali Salah, Centre for Mathematics and Computer Science (CWI), The Netherlands
Chapter 27
Neural Networks for Modeling the Contact Foot-Shoe Upper ..........................................................561
M. J. Rupérez, Universitat Politècnica de València, Spain
J. D. Martín, Universitat de València, Spain
C. Monserrat, Universitat Politècnica de València, Spain
M. Alca&ntilde;iz, Universitat Politècnica de València, Spain
Chapter 28
Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in
Neural-Based Cognition for Behavioural Robustness ........................................................................574
Chin Kim On, Universiti Malaysia Sabah, Malaysia
Jason Teo, Universiti Malaysia Sabah, Malaysia
Azali Saudi, Universiti Malaysia Sabah, Malaysia
Chapter 29
Improving Automated Planning with Machine Learning ...................................................................599
Susana Fernández Arregui, Universidad Carlos III de Madrid, Spain
Sergio Jiménez Celorrio, Universidad Carlos III de Madrid, Spain
Tomás de la Rosa Turbides, Universidad Carlos III de Madrid, Spain