"Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution"

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Book	Author(s)	Year	Publisher
Adaptive sampling /	Thompson, Steven K.,; Seber, G. A. F.	1996.	Wiley,
Network and Adaptive Sampling	Arijit Chaudhuri	2014	Routledge
Information Sampling and Adaptive Cognition	Klaus Fiedler; Peter Juslin	2005-12	Cambridge University Press
Information Sampling and Adaptive Cognition	Klaus Fiedler	2005	Cambridge University Press
Partial-Update Adaptive Signal Processing	Kutluyıl Doğançay	2009	Academic Press
Partial Update Least-Square Adaptive Filtering	Bei Xie; Tamal Bose		Springer International Publishing
Tables for normal sampling with unknown variance: the student distribution and economically optimal sampling plans	Jerome Bracken, Arthur Schleifer	1964	Division of Research, Graduate School of Business Administration, Harvard University
Adaptive sampling frequency for sampled-data control systems	Merritt C. Farren	1960	Naval Postgraduate School
Relaxed cooking with Curtis Stone	Curtis Stone	2009	Clarkson Potter / Publishers
Adaptive Sampling Designs: Inference for Sparse and Clustered Populations	George A.F. Seber; Mohammad M. Salehi	2013	Springer Berlin Heidelberg
Dog Relax Relaxed Dogs Relaxed Owners	Sabina Pilguj	2011	Hubble & Hattie
The relaxed home	Atlanta Bartlett	2006	Ryland Peters & Small
The Relaxed Home	Atlanta Bartlett	May 2002	Ryland Peters & Small
Improving Outcomes in Oral Cancer: A Clinical and Translational Update	Deepak Kademani	1st ed. 2020	Springer International Publishing
Boosting literacy with graphic novels	David Booth	2007	Rubicon Pub.
The robustness of the student t test when sampling from a Weibull distribution	David P. Allen	1970	Naval Postgraduate School
Invitation To Psychology With Dsm5 Update	Carol Tavris	2013	Pearson Education (US)
Quality Sampling and Reliability: New Uses for the Poisson Distribution	John J. Heldt	1998	Routledge
Scalable Video On Demand - Adaptive Internet-based Distribution	Michael Zink	2005	John Wiley & Sons
Adaptive Sampling with Mobile WSN: Simultaneous robot localisation and mapping of paramagnetic spatio-temporal fields	Koushil Sreenath, Muhammad F. Mysorewala, Dan O. Popa, Frank L. Lewis	2011	The Institution of Engineering and Technology
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution	Joaquín Torres-Sospedra; Carlos Hernández-Espinosa; Mercedes Fernández-Redondo	Computational and Ambient Intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings	Francisco Sandoval; Alberto Prieto; Joan Cabestany; Manuel Graña	2007	Springer Berlin Heidelberg
A Scalable Boosting Learner Using Adaptive Sampling	Jianhua Chen; Seth Burleigh; Neeharika Chennupati; Bharath K. Gudapati	Foundations of Intelligent Systems: 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings	Floriana Esposito; Olivier Pivert; Mohand-Said Hacid; Zbigniew W. Rás; Stefano Ferilli	1st ed. 2015	Springer International Publishing
Improving Adaptive Boosting with k-Cross-Fold Validation	Joaquín Torres-Sospedra; Carlos Hernández-Espinosa; Mercedes Fernández-Redondo	Intelligent Computing: International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006, Proceedings, Part I	De-Shuang Huang; George William Irwin	2006	Springer Berlin Heidelberg
Improving boosting		Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
Adaptive Boosting		Computer Vision: A Reference Guide	Katsushi Ikeuchi	2014	Springer US
Adaptive Boosting		Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Adaptive Boosting		The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition	Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur	2020	Packt Publishing
Adaptive Boosting		OpenCV Android Programming by Example	Amgad Muhammad	2015	Packt Publishing
Adaptive Boosting		Applied Supervised Learning with Python: Use Scikit-Learn to Build Predictive Models from Real-world Datasets and Prepare Yourself for the Future of Machine Learning	Benjamin Johnston; Ishita Mathur	2019	Packt Publishing
Adaptive boosting		Hands-On Ensemble Learning with R: A beginner's guide to combining the power of machine learning algorithms using ensemble techniques	Prabhanjan Narayanachar Tattar	2018	Packt Publishing Limited
Adaptive boosting		Hands-on Ensemble Learning with R	Prabhanjan Narayanachar Tattar	2018	Packt
Adaptive boosting		Hands-On Machine Learning for Algorithmic Trading	Stefan Jansen	2018	Packt
Scaling Up a Boosting-Based Learner via Adaptive Sampling	Carlos Domingo; Osamu Watanabe	Knowledge Discovery and Data Mining. Current Issues and New Applications: Current Issues and New Applications: 4th Pacific-Asia Conference, PAKDD 2000 Kyoto, Japan, April 18-20, 2000 Proceedings	Takao Terano; Huan Liu; Arbee L.P. Chen	2000	Springer Berlin Heidelberg
19 Adaptive Boosting		Data Science for Supply Chain Forecasting	Nicolas Vandeput	2021	De Gruyter
841 Adaptive Boosting		A Selection of Image Analysis Techniques: From Fundamental to Research Front	Yu-Jin Zhang	2022	CRC Press
Getting started â€“ adaptive boosting		Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition	Stefan Jansen	2020	Packt Publishing
Adaptive Sampling	George A. F. Seber; Mohammad Salehi M.	International Encyclopedia of Statistical Science	Miodrag Lovric	2011	Springer Berlin Heidelberg
Adaptive Sampling		Encyclopedia of Computational Neuroscience	Dieter Jäger; Ranu Jung	2nd ed. 2022	Springer New York
Adaptive sampling		Mastering Distributed Tracing: Analyzing performance in microservices and complex systems	Yuri Shkuro	2019	Packt Publishing
ADAPTIVE SAMPLING		Encyclopedia of Survey Research Methods (2 Volume Set)	Dr. Paul J. Lavrakas	2008	Sage Publications, Inc
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