"8. 6. Feature selection" - similar Books and Chapters

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Computational Methods of Feature Selection	Huan Liu; Hiroshi Motoda	2007	Routledge
Feature Selection for High-Dimensional Data	Verónica Bolón-Canedo; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos	1st ed. 2015	Springer International Publishing
Spectral Feature Selection for Data Mining	Zheng Alan Zhao; Huan Liu	2012	Routledge
Special feature selection of choicer plants	Swiss Floral Company	1935
Feature Selection for Data and Pattern Recognition	Urszula Stańczyk; Lakhmi C. Jain	2015	Springer Berlin Heidelberg
Recent Advances in Ensembles for Feature Selection	Verónica Bolón-Canedo; Amparo Alonso-Betanzos	1st ed. 2018	Springer International Publishing
Feature selection and ensemble methods for bioinformatics	Okun O	2011	IGI Global
Grammont selection 8.	Gillot, Anne,; Hadjikostova, Rada,; Dïop, Aida,; Sabella, Alessio,; Zehnder, Kaspar,; Stockhammer, Jonathan,; Pintscher, Matthias,; Hodges, Nicolas,; Ventura, Fabrizio,; Giardina, Adriano,; Monot, Pierre-Alain,; Blank, William,; Hübner, Paul,; Scepanovic, Mirka,; Öhman, Karolina,; Zweginstow, Kirill,; Sabella, Alessio.; Schneider, Urs Peter,; Eizirik, Ricardo.; Ubaldini, Blaise.; Ammann, Dieter,; Jarrell, Michael.; Cordero, Victor,; Keller, Max E.,; Mettraux, Laurent,; Menoud, John,
Feature Selection for Knowledge Discovery and Data Mining	Huan Liu; Hiroshi Motoda	1998	Springer US
Ship outline feature selection using B-spline function	Werawong Thavamongkon	1984
Band 6-8	Friedrich Gottlieb Klopstock	1854	De Gruyter
Teil 6–8	Conrad Höfer; Moritz August von Thümmel	1803	De Gruyter
Symphonies 6-8 /	Langgaard, Rued,; Dausgaard, Thomas,	[2004]	Naxos Music Library,
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches	Richard Jensen; Qiang Shen	2008	Wiley-IEEE Press
Feature Extraction, Construction and Selection: A Data Mining Perspective	Huan Liu; Hiroshi Motoda	1998	Springer US
Advances in Feature Selection for Data and Pattern Recognition	Urszula Stańczyk; Beata Zielosko; Lakhmi C. Jain	1st ed. 2018	Springer International Publishing
Feature Engineering and Selection: A Practical Approach for Predictive Models	Max Kuhn; Kjell Johnson	2019	Routledge
Symphonies nos. 6-8 /	Haydn, Joseph,; Müllejans, Petra,
Piano sonatas 6-8 /	Prokofiev, Sergey,; Ashkenazy, Vladimir,; Prokofiev, Sergey,; Prokofiev, Sergey,; Prokofiev, Sergey,
Digits: Grades 6-8	Inc Pearson Education	2014	Pearson
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
8. 6. Feature selection	Juan Tapia	Iris and periocular biometric recognition /	Rathgeb, Christian,; Busch, Christoph,		Institution of Engineering & Technology
Chapter 8 Feature Selection		Machine Learning Pocket Reference: Working with Structured Data in Python	Matt Harrison	2019	O'Reilly Media
6 - Feature Subset Selection		Data-Driven Computational Neuroscience: Machine Learning and Statistical Models	Concha Bielza; Pedro Larrañaga	2020-11	Cambridge University Press
6. Feature and Labels Selection		The Novel in the Spanish Silver Age: A Digital Analysis of Genre Using Machine Learning	José Calvo Tello; Universität Bielefeld, Bielefeld University Press	2021	Bielefeld University Press
Feature Selection	Salvador García; Julián Luengo; Francisco Herrera	Data Preprocessing in Data Mining	Salvador García; Julián Luengo; Francisco Herrera	2015	Springer International Publishing
Feature Selection	Suhang Wang; Jiliang Tang; Huan Liu	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Feature Selection	Kurt Varmuza	Pattern Recognition in Chemistry	Kurt Varmuza	1980	Springer Berlin Heidelberg
Feature Selection	Chenglei Sun	Encyclopedia of Systems Biology	Werner Dubitzky; Olaf Wolkenhauer; Hiroki Yokota; Kwang-Hyun Cho	2013	Springer New York
Feature Selection	Mohamed Elgendi	PPG Signal Analysis: An Introduction Using MATLAB	Mohamed Elgendi	2020	Routledge
Feature Selection	Jan Žižka; František Dařena; Arnošt Svoboda	Text Mining with Machine Learning: Principles and Techniques	Jan Žižka; František Dařena; Arnošt Svoboda	2019	Routledge
Feature Selection	Huan Liu	Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Feature Selection	Rama Chellappa; Pavan Turaga	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2014	Springer US
Feature Selection	Leyuan Shi; Sigurdur Ólafsson	Nested Partitions Method, Theory and Applications	Leyuan Shi; Sigurdur Ólafsson	2009	Springer US
Feature Selection		Encyclopedia of Biometrics	Stan Z. Li	2009	Springer US
Feature Selection	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Feature Selection	Rama Chellappa; Pavan Turaga	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Feature Selection	Yong Shi	Advances in Big Data Analytics: Theory, Algorithms and Practices	Yong Shi	1st ed. 2022	Springer Nature Singapore
Feature Selection	Vijay Kotu; Bala Deshpande	Data Science (Second Edition)	Bala Deshpande andVijay Kotu	2019	Morgan Kaufmann
Feature Selection	Robert Nisbet; Gary Miner; Ken Yale	Handbook of Statistical Analysis and Data Mining Applications (Second Edition)	Robert Nisbet; Gary Miner and Ken Yale	2018	Academic Press
Feature Selection	Sergios Theodoridis; Konstantinos Koutroumbas	Pattern Recognition (Third Edition)	Sergios Theodoridis and Konstantinos Koutroumbas	2006	Academic Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries