"Feature Weighting for Lazy Learning Algorithms"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
Lazy Learning	David W. Aha	1997	Springer Netherlands
Algorithms for Reinforcement Learning	Csaba Szepesvári		Springer International Publishing
Algorithms for reinforcement learning	Csaba Szepesvári	2010	Morgan & Claypool
Genetic Algorithms for Machine Learning	John J. Grefenstette	1994	Springer US
Convergence analysis of local feature extraction algorithms	K. Hornik	1990	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Feature Engineering for Machine Learning and Data Analytics	Guozhu Dong; Huan Liu	2018	Routledge
Kernel Learning Algorithms for Face Recognition	Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan	2014	Springer New York
Machine Learning Algorithms for Industrial Applications	Santosh Kumar Das; Shom Prasad Das; Nilanjan Dey; Aboul-Ella Hassanien	1st ed. 2021	Springer International Publishing
Applied Learning Algorithms for Intelligent IoT	Pethuru Raj Chelliah; Usha Sakthivel; Nagarajan Susila	2021	Routledge
Machine Learning Algorithms	Giuseppe Bonaccorso	2018	Packt Publishing
Machine Learning Algorithms	Bonaccorso, Giuseppe	2017	Packt Publishing
Unsupervised Learning Algorithms	M. Emre Celebi, Kemal Aydin (eds.)	2016	Springer International Publishing
Unsupervised Learning Algorithms	M. Emre Celebi; Kemal Aydin	1st ed. 2016	Springer International Publishing
The Art of Feature Engineering: Essentials for Machine Learning	Pablo Duboue	2020-06	Cambridge University Press
Weighting for the modulation transfer function	Robert J. Flenniken	1983	Naval Postgraduate School
NLP for Lazy Learning: Superlearning Strategies for Business and Personal Development	Diana Beaver	November 1998	Element Books Ltd
Evolutionary Learning Algorithms for Neural Adaptive Control	Dimitris C. Dracopoulos	1997	Springer London
Inductive Learning Algorithms for Complex Systems Modeling	Hema R. Madala; Alexy G. Ivakhnenko	1994	Routledge
Sampling and weighting	Statistics Canada.	1999	Statistics Canada
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
Feature Weighting for Lazy Learning Algorithms	David W. Aha	Feature Extraction, Construction and Selection: A Data Mining Perspective	Huan Liu; Hiroshi Motoda	1998	Springer US
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms	Dietrich Wettschereck; David W. Aha; Takao Mohri	Lazy Learning	David W. Aha	1997	Springer Netherlands
Feature Weighting through Local Learning	Yijun Sun	Computational Methods of Feature Selection	Huan Liu; Hiroshi Motoda	2007	Routledge
Feature Weighting		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Feature Weighting		Introduction to Data Mining	Vipin Kumar, Pang-Ning Tan, Michael Steinback, Anuj Karpatne	2018	Pearson
Discretisation in Lazy Learning Algorithms	Kai Ming Ting	Lazy Learning	David W. Aha	1997	Springer Netherlands
A Lazy Approach for Machine Learning Algorithms	Inés M. Galván; Josà M. Valls; Nicolas Lecomte; Pedro Isasi	Artificial Intelligence Applications and Innovations: Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI' 2009), April 23-25, 2009, Thessaloniki, Greece	Lazaros Iliadis; Ilias Maglogiannis; Grigorios Tsoumakas; Ioannis Vlahavas; Max Bramer	2009	Springer US
22 Feature weighting		Multivariate statistics: theory and applications: proceedings of IX Tartu Conference on Multivariate Statistics and XX International Workshop on Matrices and Statistics	Kollo, Tonu(Editor)	2013	World Scientific Publishing Company
Feature Weighting and Classification Modeling for Network Intrusion Detection Using Machine Learning Algorithms	Olamatanmi J. Mebawondu; Adebayo O. Adetunmbi; Jacob O. Mebawondu; Olufunso D. Alowolodu	Information and Communication Technology and Applications: Third International Conference, ICTA 2020, Minna, Nigeria, November 24–27, 2020, Revised Selected Papers	Sanjay Misra; Bilkisu Muhammad-Bello	1st ed. 2021	Springer International Publishing
Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms	I. Inza; P. Larrañaga; B. Sierra	Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation	Pedro Larrañaga; José A. Lozano	2002	Springer US
Feature Handling in Learning Algorithms	S. E. Hampson; D. J. Volper	Dynamic Interactions in Neural Networks: Models and Data	Michael A. Arbib; Shun-ichi Amari	1989	Springer New York
Lazy Learning	Geoffrey I. Webb	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Lazy Learning	Geoffrey I. Webb	Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Lazy learning		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
Lazy Learning	Geoffrey I Webb	Encyclopedia of Machine Learning and Data Science	Dinh Phung; Geoffrey I. Webb; Claude Sammut	0th ed. 2020	Springer US
Query-Dependent Feature Weighting	Donald Metzler	A Feature-Centric View of Information Retrieval	Donald Metzler	2011	Springer Berlin Heidelberg
Feature Selection by Weighting		Chemometrics: Theory and Application	Bruce R. Kowalski (Eds.)	1977	American Chemical Society
24 Diflerentiated Feature Weighting		Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002	Wai-Ki Ching, Michael Kwok-Po Ng	2003	World Scientific
Feature algorithms		Apache Spark 2 for Beginners	Rajanarayanan Thottuvaikkatumana	2016	Packt Publishing
On Dynamic Feature Weighting for Feature Drifting Data Streams	Jean Paul Barddal; Heitor Murilo Gomes; Fabrício Enembreck; Bernhard Pfahringer; Albert Bifet	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II	Paolo Frasconi; Niels Landwehr; Giuseppe Manco; Jilles Vreeken	1st ed. 2016	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Feature Weighting for Lazy Learning Algorithms" - similar Books and Chapters