"Relationships Between Average Depth and Number of Nodes for Decision Trees"

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Book	Author(s)	Year	Publisher
Average Time Complexity of Decision Trees	Igor Chikalov	2011	Springer Berlin Heidelberg
Conversion of decision tables into decision trees	Toshio Yasui	1972	University of Illinois at Urbana-Champaign
Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions	Fawaz Alsolami; Mohammad Azad; Igor Chikalov; Mikhail Moshkov	1st ed. 2020	Springer International Publishing
A field guide for stand basal area, average diameter, and tree spacing relationships	James W. Barrett	1977	Dept. of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station
Between the Trees and the non-Trees	by Agi Mishol	2015	The Chinese University of Hong Kong Press
Lymph nodes	Lawrence M. Weiss	2008	Cambridge University Press
Lymph nodes	Horatiu Olteanu; Steven H. Kroft; Alexandra M. Harrington	2013	Demoz Medical
Designing extended entry decision tables and optimal decision trees using decision diagrams	Ryszard Stanisaw Michalski	1978	Dept. of Computer Science, University of Illinois at Urbana-Champaign
Pathology of lymph nodes	Lawrence M. Weiss	1996	Churchill Livingstone
Comparative Analysis of Deterministic and Nondeterministic Decision Trees	Mikhail Moshkov	1st ed. 2020	Springer International Publishing
Heuristic algorithms for constructing near-optimal decision trees	Joan Manning Alster	1971
Submarine periscope depth course selection tactical decision aid	D. J. Danko	1997	Naval Postgraduate School;Available from National Technical Information Service
From conflict to caring: an in-depth program for creating loving relationships	Jordan Paul	1989	CompCare
History for the average child: suggestions on teaching history to pupils of average and below average ability	P. H. J. H. Gosden	1968	Blackwell
The hemolymph nodes of the sheep: studies on Hemolymph Nodes I.	Arthur William Meyer	1914	Stanford Univ.
Partnership for Health: Building Relationships Between Women and Health Caregivers	Christina S. Beck; Sandra L. Ragan; Athena du Pr‚; Athena du Pre	1997	Routledge
Relationships between career satisfaction and personality type for employed dietitians.		1974
New Centrality Measures in Networks: How to Take into Account the Parameters of the Nodes and Group Influence of Nodes to Nodes	Fuad Aleskerov; Sergey Shvydun; Natalia Meshcheryakova	2021	Routledge
Trade-offs between depth and width in parallel computation.	U. Vishkin	1983	Courant Institute of Mathematical Sciences, New York University
Mediation Therapy: Short-Term Decision Making for Relationships in Conflict	Janet Miller Wiseman	February 2001	Booktech. com
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Relationships Between Average Depth and Number of Nodes for Decision Trees	Igor Chikalov; Shahid Hussain; Mikhail Moshkov	Knowledge Engineering and Management: Proceedings of the Seventh International Conference on Intelligent Systems and Knowledge Engineering, Beijing, China, Dec 2012 (ISKE 2012)	Fuchun Sun; Tianrui Li; Hongbo Li	2014	Springer Berlin Heidelberg
Relationships between Depth and Number of Misclassifications for Decision Trees	Igor Chikalov; Shahid Hussain; Mikhail Moshkov	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings	Sergei O. Kuznetsov; Dominik Ślęzak; Daryl H. Hepting; Boris G. Mirkin	2011	Springer Berlin Heidelberg
Relationships between Number of Nodes and Number of Misclassifications for Decision Trees	Igor Chikalov; Shahid Hussain; Mikhail Moshkov	Rough Sets and Current Trends in Computing: 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012. Proceedings	JingTao Yao; Yan Yang; Roman Slowiński; Salvatore Greco; Huaxiong Li; Sushmita Mitra; Lech Polkowski	2012	Springer Berlin Heidelberg
Relationships Between Nodes		Network+ guide to networks /	Dean, Tamara.	©2013.	Course Technology/Cengage Learning,
Relationships between nodes		R Web Scraping Quick Start Guide: Techniques and tools to crawl and scrape data from websites	Olgun Aydin	2018	Packt Publishing
On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes	Igor Chikalov	Rough Sets and Current Trends in Computing: Second International Conference, RSCTC 2000 Banff, Canada, October 16-19, 2000 Revised Papers	Wojciech Ziarko; Yiyu Yao	2001	Springer Berlin Heidelberg
Relationships for Cost and Uncertainty of Decision Trees	Igor Chikalov; Shahid Hussain; Mikhail Moshkov	Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam: Volume 2	Andrzej Skowron; Zbigniew Suraj	2013	Springer Berlin Heidelberg
Tune the Number of Decision Trees		XGBoost with Python	Jason Brownlee	0
In-Depth: Decision Trees and Random Forests		Python Data Science Handbook: Tools and Techniques for Developers	Jake Vanderplas	2016	O'Reilly Media
Minimizing Depth of Decision Trees with Hypotheses	Mohammad Azad; Igor Chikalov; Shahid Hussain; Mikhail Moshkov	Rough Sets: International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19–24, 2021, Proceedings	Sheela Ramanna; Chris Cornelis; Davide Ciucci	1st ed. 2021	Springer International Publishing
Number of Nodes		Mobile IP technology and applications	Chandra, Madhavi W.; Leung, Kent; Raab, Stefan	2005	Cisco Press
Number of nodes		Hands-On Linux For Architects: Design And Implement Linux-based IT solutions	Denis Salamanca, Esteban Flores	2019	Packt Publishing
Number Nodes		Inkscape guide to a vector drawing program	Taymjong Bah.	2008	Pearson Education
7315 Relation between Number of Leaf Nodes and Degree-2 Nodes		Data Structures Using C++	Varsha H. Patil	2012	Oxford University Press, USA
On Boolean decision trees with faulty nodes	Claire Kenyon; Valerie King	Theory of Computing and Systems: ISTCS ' 92, Israel Symposium, Haifa, Israel, May 27-28, 1992. Proceedings	Danny Dolev; Zvi Galil; Michael Rodeh	1992	Springer Berlin Heidelberg
Decision Nodes		The Concise Oxford Dictionary of Mathematics (Oxford Quick Reference)	Richard Earl, James Nicholson	2021	Oxford University Press
Average Depth of Precipitation		Elementary Engineering Hydrology	M.J. Deodhar	2009	Pearson Education
Bounds on Average Time Complexity of Decision Trees	Igor Chikalov	Average Time Complexity of Decision Trees	Igor Chikalov	2011	Springer Berlin Heidelberg
Lower bounds on the depth of decision trees		Complexity of algorithms	Lovász László	2014	Typotex
The distance between nodes for a class of recursive trees	J. S. Clowes	Combinatorial Optimization II	Victor J. Rayward-Smith	1980	Springer Berlin Heidelberg
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