Spherical separation with infinitely far center
暂无分享,去创建一个
[1] Le Thi Hoai An,et al. Binary classification via spherical separator by DC programming and DCA , 2012, Journal of Global Optimization.
[2] Anatoly A. Zhigljavsky,et al. Computing sums of conditionally convergent and divergent series using the concept of grossone , 2012, Appl. Math. Comput..
[3] Yaroslav D. Sergeyev,et al. On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales , 2018, Commun. Nonlinear Sci. Numer. Simul..
[4] Manlio Gaudioso,et al. Numerical infinitesimals in a variable metric method for convex nonsmooth optimization , 2018, Appl. Math. Comput..
[5] M. Gaudioso,et al. Nonlinear programming for classification problems in machine learning , 2016 .
[6] Annabella Astorino,et al. DC models for spherical separation , 2010, J. Glob. Optim..
[7] O. Mangasarian. Linear and Nonlinear Separation of Patterns by Linear Programming , 1965 .
[8] Annabella Astorino,et al. A Lagrangian Relaxation Approach for Binary Multiple Instance Classification , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[9] Eugenio Vocaturo,et al. Melanoma Detection by Means of Multiple Instance Learning , 2019, Interdisciplinary Sciences: Computational Life Sciences.
[10] Antonio Fuduli,et al. Robust spherical separation , 2017 .
[11] Yaroslav D. Sergeyev,et al. Numerical infinities and infinitesimals: Methodology, applications, and repercussions on two Hilbert problems , 2017 .
[12] Annabella Astorino,et al. A fixed-center spherical separation algorithm with kernel transformations for classification problems , 2009, Comput. Manag. Sci..
[13] Yaroslav D. Sergeyev,et al. Numerical point of view on Calculus for functions assuming finite, infinite, and infinitesimal values over finite, infinite, and infinitesimal domains , 2009, 1203.4140.
[14] Frank Plastria,et al. Multi-instance classification through spherical separation and VNS , 2014, Comput. Oper. Res..
[15] M. S. Mukhametzhanov,et al. Conjugate-symplecticity properties of Euler–Maclaurin methods and their implementation on the Infinity Computer , 2018 .
[16] Yaroslav D. Sergeyev,et al. Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming , 2018, Comput. Optim. Appl..
[17] Renato De Leone,et al. Nonlinear programming and Grossone: Quadratic Programing and the role of Constraint Qualifications , 2018, Appl. Math. Comput..
[18] Annabella Astorino,et al. SVM-Based Multiple Instance Classification via DC Optimization , 2019, Algorithms.
[19] Francisco Herrera,et al. Multiple Instance Learning , 2016, Springer International Publishing.
[20] Annabella Astorino,et al. Edge detection by spherical separation , 2013, Computational Management Science.
[21] Y. Shimuta,et al. Modeling of initial imprinting caused by laser‐intensity nonuniformities in ablative plasmas , 2008 .
[22] Thomas Hofmann,et al. Support Vector Machines for Multiple-Instance Learning , 2002, NIPS.
[23] Annabella Astorino,et al. Non-smoothness in classification problems , 2008, Optim. Methods Softw..
[24] Renato De Leone,et al. The use of grossone in Mathematical Programming and Operations Research , 2011, Appl. Math. Comput..
[25] M. Emre Celebi,et al. Partitional Clustering Algorithms , 2014 .
[26] Alexander Zien,et al. Semi-Supervised Classification by Low Density Separation , 2005, AISTATS.
[27] Maurice Margenstern. Using grossone to count the number of elements of infinite sets and the connection with bijections , 2011, ArXiv.
[28] S. Odewahn,et al. Automated star/galaxy discrimination with neural networks , 1992 .
[29] Annabella Astorino,et al. Conic separation of nite sets I. The homogeneous case. , 2014 .
[30] Yaroslav D. Sergeyev,et al. Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization , 2020, Journal of Optimization Theory and Applications.
[31] Antonio Fuduli,et al. A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[32] Eugenio Vocaturo,et al. A Multiple Instance Learning Algorithm for Color Images Classification , 2018, IDEAS.
[33] Alberto Falcone,et al. A Simulink-Based Infinity Computer Simulator and Some Applications , 2019, NUMTA.
[34] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[35] Annabella Astorino,et al. Margin maximization in spherical separation , 2012, Computational Optimization and Applications.
[36] Annabella Astorino,et al. The Proximal Trajectory Algorithm in SVM Cross Validation , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[37] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[38] Annabella Astorino,et al. Nonsmooth Optimization Techniques for Semisupervised Classification , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Gabriele Lolli,et al. Metamathematical investigations on the theory of Grossone , 2015, Appl. Math. Comput..
[40] Yaroslav D. Sergeyev,et al. Higher order numerical differentiation on the Infinity Computer , 2011, Optim. Lett..
[41] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[42] Yaroslav D. Sergeyev,et al. Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology , 2020, Commun. Nonlinear Sci. Numer. Simul..
[43] Franco Montagna,et al. Taking the Pirahã seriously , 2015, Commun. Nonlinear Sci. Numer. Simul..
[44] Giovanna Miglionico,et al. Classification in the multiple instance learning framework via spherical separation , 2019, Soft Computing.
[45] Fabio Caldarola. The Sierpinski curve viewed by numerical computations with infinities and infinitesimals , 2018, Appl. Math. Comput..
[46] Yaroslav D. Sergeyev,et al. Independence of the Grossone-Based Infinity Methodology from Non-standard Analysis and Comments upon Logical Fallacies in Some Texts Asserting the Opposite , 2018, Foundations of Science.