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Mathematical optimization in classification and regression trees. [PDF]
Top (Berl), 2021 AbstractClassification and regression trees, as well as their variants, are off-the-shelf methods in Machine Learning. In this paper, we review recent contributions within the Continuous Optimization and the Mixed-Integer Linear Optimization paradigms to develop novel formulations in this research area.
Carrizosa E +2 more
europepmc +6 more sources
Supervised classification and mathematical optimization [PDF]
Computers and Operations Research, 2013 Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between Mathematical Optimization methods and Supervised Classification are emphasized.
Emilio Carrizosa +1 more
exaly +4 more sources
Inverse procedure for measuring piezoelectric material parameters using a single multi-electrode sample [PDF]
Journal of Sensors and Sensor Systems, 2023 An inverse measurement procedure for the determination of a full set of piezoelectric material parameters using a single sample is presented. The basis for the measurement procedure is a measurement of the frequency-dependent impedance of the sample.
L. Claes +7 more
doaj +1 more source
Modification of the double direction approach for solving systems of nonlinear equations with application to Chandrasekhar’s Integral equation [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2022 This study aims to present an accelerated derivative-free method for solving systems of nonlinear equations using a double direction approach. The approach approximates the Jacobian using a suitably formed diag-onal matrix by applying the acceleration ...
A.I. Kiri, M.Y. Waziri, A.S. Halilu
doaj +1 more source
New Heuristic Local Search Method for University Course Timetabling [PDF]
مدیریت نوآوری و راهبردهای عملیاتی, 2023 Purpose: This paper presents a new two-phase method for solving the curriculum-based university course timetabling problem. A new metaheuristic approach is used in both phases of the new present method.Methodology: A feasible, high-quality solution is ...
Mohammad Sadegh Shiri +2 more
doaj +1 more source
Adaptive Cut Selection in Mixed-Integer Linear Programming
Open Journal of Mathematical Optimization, 2023 Cutting plane selection is a subroutine used in all modern mixed-integer linear programming solvers with the goal of selecting a subset of generated cuts that induce optimal solver performance.
Turner, Mark +3 more
doaj +1 more source
Development of Stochastic Mathematical Models for the Prediction of Heavy Metal Content in Surface Waters Using Artificial Neural Network and Multiple Linear Regression [PDF]
E3S Web of Conferences, 2021 The principal purpose of this study is to build stochastic neuronal models, for the prediction of heavy metal, contents in the surface waters of the Oued Inaouen catchment area of the TAZA region, according to their Physico-chemical parameters; we have ...
El Chaal Rachid +1 more
doaj +1 more source
HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION
Barekeng, 2023 The number of claims plays an important role the profit achievement of health insurance companies. Prediction of the number of claims could give the significant implications in the profit margins generated by the health insurance company.
Syaiful Anam +5 more
doaj +1 more source
EURO Journal on Computational Optimization, 2023 The Dai-Kou method Dai and Kou (2013), [12] is efficient for solving unconstrained optimization problems. However, its modified variants are quite rare for constrained nonlinear monotone equations.
Kabiru Ahmed +3 more
doaj +1 more source
Mathematical Optimization of Treatment Schedules [PDF]
International Journal of Radiation Oncology*Biology*Physics, 2016 In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment delivery methods, such as IMRT, VMAT, tomotherapy, LDR/HDR brachytherapy, proton therapy, are based on some form of optimization approach that changes the treatment variables ...
Gorissen, Bram L. +2 more
openaire +3 more sources