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Oblique Multicategory Decision Trees Using Nonlinear Programming

W. Nick Street
2005 INFORMS journal on computing  
This paper presents a new algorithm for multi-category decision tree induction based on nonlinear programming.  ...  I nduction of decision trees is a popular and effective method for solving classification problems in data-mining applications.  ...  Therefore, the goal of the work presented here is to create multicategory binary decision trees with oblique planes, using a nonlinear-programming approach to the optimization of an orthogonalitybased  ... 
doi:10.1287/ijoc.1030.0047 fatcat:g4rgb245d5h23pddqcxidpkewe

Isotonic Separation

R. Chandrasekaran, Young U. Ryu, Varghese S. Jacob, Sungchul Hong
2005 INFORMS journal on computing  
Exploiting this characteristic of isotonicity, we propose a data-classification method called isotonic separation based on linear programming, especially network programming.  ...  Krishnan for very useful discussions on applications of this idea to be reported elsewhere and to Professor R. Madhavan for discussions on isotonic regression and its applications.  ...  oblique decision-tree induction.  ... 
doi:10.1287/ijoc.1030.0061 fatcat:xjclnepkf5hozbozwdcpcucgqy

Comprehensive Review On Twin Support Vector Machines [article]

M. Tanveer and T. Rajani and R. Rastogi and Y.H. Shao and M. A. Ganaie
2021 arXiv   pre-print
It requires to solve two small sized quadratic programming problems (QPPs) in lieu of solving single large size QPP in support vector machine (SVM) while TSVR is formulated on the lines of TWSVM and requires  ...  Some other recent research on TWSVM include [163] where authors proposed a novel way for generating oblique decision trees.  ...  [168] formulated a separating decision tree TWSVM (DTTWSVM).  ... 
arXiv:2105.00336v2 fatcat:prxup4sbavfyxpembij6amrnka

Learning Machines [chapter]

Norbert Jankowski, Krzysztof Grabczewski
Studies in Fuzziness and Soft Computing  
Linear Machine Decision Trees (LMDT) (Utgoff and Brodley, 1991) use linear machines at tree nodes.  ...  Decision trees Decision trees are hierarchical models, very popular in classification tasks.  ... 
doi:10.1007/978-3-540-35488-8_2 fatcat:c5pahzryc5dorfcao7yvim6sfm

Vol. 4, No. 1 (Full Issue)

JMASM Editors
2005 Journal of Modern Applied Statistical Methods  
Three areas are appropriate for JMASM: (1) development or study of new statistical tests or procedures, or the comparison of existing statistical tests or procedures, using computerintensive Monte Carlo  ...  , bootstrap, jackknife, or resampling methods, (2) development or study of nonparametric, robust, permutation, exact, and approximate randomization methods, and (3) applications of computer programming  ...  Data mining generates descriptions of rules as output using algorithms such as Bayesian probability, artificial neural networks, decision trees, and generic algorithms that do not assume any parametric  ... 
doi:10.22237/jmasm/1114905600 fatcat:a2jhdeddpjcabmsbjmpyewrepm

Robotic isotropy and optimal robot design of planar manipulators

M.V. Kircanski
Proceedings of the 1994 IEEE International Conference on Robotics and Automation  
theory: classification of decision situations, decision tables and decision tree, criteria for decision making under certain, uncertain and risk conditions Linear programming: general nature of problem  ...  Nonmetric Methods: Decision tree, CART, ID3, C4.5, Gramatical methods, Gramatical interfaces 7.  ...  Student group should select any one stream area like database programming, network programming, multimedia programming, system programming etc. and use the appropriate skill set to design and implement  ... 
doi:10.1109/robot.1994.351213 dblp:conf/icra/Kircanski94 fatcat:uawqnzropbgivcanzqihtimt2m

Data Recovery Investigations at the Tank Destroyer Site (41CV1378) at Fort Hood, Coryell County, Texas

Douglas Boyd, John Dockall, Karl Kibler, Gemma Mehalchick, Laura Short
2014 Index of Texas Archaeology Open Access Grey Literature from the Lone Star State  
Nonlinear regression techniques may also be appropriate for the data, but many of these require that the data be analyzed with high-end statistical programs such as S-plus or R.  ...  Therefore, such decisions should be made at the start of the analysis process.  ... 
doi:10.21112/ita.2014.1.2 fatcat:i556bnvd7be7vh75z6tzd6p7pm

NEMO ocean engine

Madec Gurvan, Romain Bourdallé-Badie, Jérôme Chanut, Emanuela Clementi, Andrew Coward, Christian Ethé, Doroteaciro Iovino, Dan Lea, Claire Lévy, Tomas Lovato, Nicolas Martin, Sébastien Masson (+10 others)
2022 Zenodo  
The decision on these choices must be made when the cn_domcfg file is constructed.  ...  When indicating a multicategory coupling field in &namsbc_cpl (namelist 6.6) , the number of categories will be determined by the number used in the sea ice model.  ...  Naming Conventions: files A file containing a module will have the same name as the module it contains (because dependency rules used by "make" programs are based on file names). † G.4.12.  ... 
doi:10.5281/zenodo.6334656 fatcat:fvnr2hgafjellfmmlxwxckvxtm

A new neural network to select the b-jet pair from H -> bb in HH -> bbtautau searches at CMS

MAR�A ROSARIA DI DOMENICO FRANCO
2021
The search uses data from proton-proton collisions at a centerof- mass energy of ?  ...  Among these new techniques, a novel neural network, HH-Btag, is used to improve the selection of the b-jet pair forming the HH?b�b with respect to the previous methods.  ...  Right: transverse-oblique view comparing the pixel barrel layers in the two detectors. [68].  ... 
doi:10.25434/di-domenico-franco-maria-rosaria_phd2021 fatcat:eri63y53g5ehfjj4jnhk335wje