"A Projection-based, Data-Driven Method for High-Dimensional Black-Box Optimization"

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Book	Author(s)	Year	Publisher
The Feature-Driven Method for Structural Optimization	Weihong Zhang and Ying Zhou	2021	Elsevier
High-Dimensional Optimization and Probability: With a View Towards Data Science	Ashkan Nikeghbali; Panos M. Pardalos; Andrei M. Raigorodskii; Michael Th. Rassias	1st ed. 2022	Springer International Publishing
Data-Driven Fault Detection for Industrial Processes: Canonical Correlation Analysis and Projection Based Methods	Zhiwen Chen	1st ed. 2017	Springer Fachmedien Wiesbaden
Feature Selection for High-Dimensional Data	Verónica Bolón-Canedo; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos	1st ed. 2015	Springer International Publishing
Bayesian and High-Dimensional Global Optimization	Anatoly Zhigljavsky; Antanas Žilinskas	1st ed. 2021	Springer International Publishing
Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data	Michael Christoph Thrun	1st ed. 2018	Springer Fachmedien Wiesbaden
Statistical Diagnostics for Cancer - Analyzing High-Dimensional Data	Matthias Dehmer; Frank Emmert-Streib	2013	John Wiley & Sons
High-Performance Simulation-Based Optimization	Thomas Bartz-Beielstein; Bogdan Filipič; Peter Korošec; El-Ghazali Talbi	1st ed. 2020	Springer International Publishing
A method for judging quality of planting sites for black locust: based on field clinic data	Theodore J. Grant	1940	U.S. Dept. of Agriculture, Soil Conservation Service
Facilitating Evidence-Based, Data-Driven School Counseling: A Manual for Practice	Brett Zyromski; Melissa A. Mariani	Corwin	Corwin Publishers
Statistics for High-Dimensional Data: Methods, Theory and Applications	Peter Bühlmann; Sara van de Geer	2011	Springer Berlin Heidelberg
Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System	Qing Duan; Krishnendu Chakrabarty; Jun Zeng	2015	Springer International Publishing
Multi-Dimensional Education: A Common Sense Approach to Data-Driven Thinking	Michael W. Corrigan; Doug Grove; Philip F. Vincent	Corwin	Corwin Press
High-Dimensional Data Analysis in Cancer Research	Xiaochun Li; Ronghui Xu	2009	Springer New York
Analysis of Multivariate and High-Dimensional Data	Inge Koch	2013-12	Cambridge University Press
Data Visualisation: A Handbook for Data Driven Design	Andy Kirk	August 2019	SAGE Publications Ltd
Data visualisation: a handbook for data driven design	Andy Kirk	2016	Sage Publications Limited
Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014	Arnoldo Frigessi; Peter Bühlmann; Ingrid Glad; Mette Langaas; Sylvia Richardson; Marina Vannucci	1st ed. 2016	Springer International Publishing
A new method for global optimization	James K. Hartman	1973	Naval Postgraduate School
Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method	Zhixiong Zhong	2019	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Projection-based, Data-Driven Method for High-Dimensional Black-Box Optimization	Ishan Bajaj; M.M. Faruque Hasan	13 International Symposium on Process Systems Engineering (PSE 2018)	Mario R. Eden; Marianthi G. Ierapetritou; Gavin P. Towler	2018	Elsevier
An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box Optimization	Rommel G. Regis	Modeling and Optimization: Theory and Applications: Selected Contributions from the MOPTA 2012 Conference	Luis F. Zuluaga; Tamás Terlaky	2013	Springer New York
Data-Driven Spatial Branch-And-Bound Algorithms For Black-Box Optimization	Jianyuan Zhai; Fani Boukouvala	Proceedings of the 9 International Conference on Foundations of Computer-Aided Process Design	Salvador Garcia Muñoz; Carl D. Laird; Matthew J. Realff	2019	Elsevier
Black-Box and Data-Driven Computation	Rong Jin; Weili Wu; My T. Thai; Ding-Zhu Du	Black Box Optimization, Machine Learning, and No-Free Lunch Theorems	Panos M. Pardalos; Varvara Rasskazova; Michael N. Vrahatis	1st ed. 2021	Springer International Publishing
A Novel Adaptive Region-Based Global Optimization Method for High Dimensional Problem	Fan Ye; Hu Wang	Advances in Structural and Multidisciplinary Optimization: Proceedings of the 12th World Congress of Structural and Multidisciplinary Optimization (WCSMO12)	Axel Schumacher; Thomas Vietor; Sierk Fiebig; Kai-Uwe Bletzinger; Kurt Maute	1st ed. 2018	Springer International Publishing
DIG: A Data-Driven Impact-Based Grouping Method for Video Rebuffering Optimization	Shengbin Meng; Chunyu Qiao; Junlin Li; Yue Wang; Zongming Guo	MultiMedia Modeling: 28th International Conference, MMM 2022, Phu Quoc, Vietnam, June 6–10, 2022, Proceedings, Part II	Björn Þór Jónsson; Cathal Gurrin; Minh-Triet Tran; Duc-Tien Dang-Nguyen; Anita Min-Chun Hu; Binh Huynh Thi Thanh; Benoit Huet	1st ed. 2022	Springer International Publishing
DACC: A Data Exploration Method for High-Dimensional Data Sets	Qingnan Zhao; Hui Li; Mei Chen; Zhenyu Dai; Ming Zhu	Artificial Intelligence and Algorithms in Intelligent Systems: Proceedings of 7th Computer Science On-line Conference 2018, Volume 2	Radek Silhavy	1st ed. 2019	Springer International Publishing
Black Box Method		Designing Engineers: An Introductory Text	Susan McCahan, Phil Anderson, Mark Kortschot, Peter E. Weiss, Kimberly A. Woodhouse	2015	Wiley
High-Dimensional Data Clustering Algorithm Based on Stacked-Random Projection	Yujia Sun; Jan Platoš	Advances in Intelligent Networking and Collaborative Systems: The 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020)	Leonard Barolli; Kin Fun Li; Hiroyoshi Miwa	1st ed. 2021	Springer International Publishing
for High-Dimensional Data		Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends	Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero, Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero	2009	Information Science Reference
A Data-driven Method	Kumar S. Ray; Bimal Kumar Ray	Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves	Kumar S. Ray; Bimal Kumar Ray	2013	Routledge
High-Dimensional Clustering Method for High Performance Data Mining	Jae-Woo Chang; Hyun-Jo Lee	Computational Science - ICCS 2007: 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part III	Yong Shi; Geert Dick van Albada; Jack Dongarra; Peter M.A. Sloot	2007	Springer Berlin Heidelberg
A Model for Analyzing Black-Box Optimization	Vinhthuy Phan; Steven Skiena; Pavel Sumazin	Algorithms and Data Structures: 8th International Workshop, WADS 2003, Ottawa, Ontario, Canada, July 30 - August 1, 2003, Proceedings	Frank Dehne; Jörg Rüdiger Sack; Michiel Smid	2003	Springer Berlin Heidelberg
A Visual Method for High-Dimensional Data Cluster Exploration	Ke-Bing Zhang; Mao Lin Huang; Mehmet A. Orgun; Quang Vinh Nguyen	Neural Information Processing: 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II	Chi Sing Leung; Minho Lee; Jonathan H. Chan	2009	Springer Berlin Heidelberg
A Variable Selection Method for High-Dimensional Survival Data	Francesco Giordano; Sara Milito; Marialuisa Restaino	Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022	Marco Corazza; Cira Perna; Claudio Pizzi; Marilena Sibillo	1st ed. 2022	Springer International Publishing
A New Cell-Based Clustering Method for High-Dimensional Data Mining Applications	Jae-Woo Chang	Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I	Rajiv Khosla	2005	Springer Berlin Heidelberg
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems	Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni	Numerical Computations: Theory and Algorithms: Third International Conference, NUMTA 2019, Crotone, Italy, June 15–21, 2019, Revised Selected Papers, Part I	Yaroslav D. Sergeyev; Dmitri E. Kvasov	1st ed. 2020	Springer International Publishing
An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing	Ben Wang; John Q. Gan	Computational Intelligence and Security: International Conference, CIS 2005, Xi' an, China, December 15-19, 2005, Proceedings, Part I	Yue Hao; Jiming Liu; Yuping Wang; Yiu-ming Cheung; Hujun Yin; Licheng Jiao; Jianfeng Ma; Yong-Chang Jiao	2005	Springer Berlin Heidelberg
Meta-Learning for Black-Box Optimization	Vishnu TV; Pankaj Malhotra; Jyoti Narwariya; Lovekesh Vig; Gautam Shroff	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II	Ulf Brefeld; Elisa Fromont; Andreas Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet	1st ed. 2020	Springer International Publishing
Optimization for Black-Box Objective Functions	H. Nakayama, M. Arakawa and K. Washino	Optimization and optimal control /	Pardalos, P. M.; Tseveendorj, Ider.; Ėnkhbat, R.	[2003], ©2003.	World Scientific,
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Showing 1 to 20 of 100 entries

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