Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Robin C. Gilbert"'
© 2016 Informa UK Limited, trading as Taylor & Francis Group. Incorporating the quantity and variety of observations in atmospheric and oceanographic assimilation and prediction models has become an increasingly complex task. Data assimilation allow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde90c48c3e5b410dbb6671a89ccbb98
https://hdl.handle.net/10453/119795
https://hdl.handle.net/10453/119795
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 52:637-649
The inspection of the form of nonlinear surfaces is often complicated by the unavailability of analytical models. We develop in this paper a methodology for inspecting the form of any type of smooth surface for which we simply collected a sample of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ed76493d971138b713b24e7c417bef
https://doi.org/10.1007/s00170-010-2737-9
https://doi.org/10.1007/s00170-010-2737-9
Publikováno v:
Manufacturing Letters. 1:59-61
Manufacturing processes leave specific patterns on part surfaces, which provide a good basis for their inspection. In this paper, machine learning and data mining techniques are applied to quantify process errors on parts and thereby provide a basis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5284a92ab0354c6d2911831e001cf7bf
https://doi.org/10.1016/j.mfglet.2013.10.003
https://doi.org/10.1016/j.mfglet.2013.10.003
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 224:847-852
Form inspection of non-linear surfaces is a difficult task as suitable analytical models are often unavailable. This paper presents a mathematical model for surface inspection of face-milled plates and determination of the minimum zone based on a mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573a1f81747c72ea12ce123c70966228
https://doi.org/10.1243/09544054jem1433
https://doi.org/10.1243/09544054jem1433
Autor:
Robin C. Gilbert, Theodore B. Trafalis
Publikováno v:
Optimization Methods and Software. 24:175-185
We reformulate the support vector machine approach to classification and regression problems using a different methodology than the classical 'largest margin' paradigm. From this, we are able to derive extremely simple quadratic programming problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c7eb74a806f080fd2f9eee44ef7e66
https://doi.org/10.1080/10556780902752892
https://doi.org/10.1080/10556780902752892
Autor:
Robin C. Gilbert, Theodore B. Trafalis
Publikováno v:
Optimization Methods and Software. 22:187-198
In this paper, we investigate the theoretical and numerical aspects of robust classification using support vector machines (SVMs) by providing second order cone programming and linear programming formulations. SVMs are learning algorithms introduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::951e5e47fdafc79030e78fec1e323c66
https://doi.org/10.1080/10556780600883791
https://doi.org/10.1080/10556780600883791
Autor:
Robin C. Gilbert, Theodore B. Trafalis
Publikováno v:
European Journal of Operational Research. 173:893-909
In this paper, we investigate the theoretical aspects of robust classification and robust regression using support vector machines. Given training data ( x 1 , y 1 ), … , ( x l , y l ), where l represents the number of samples, x i ∈ R n and y i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3170baa75c9c72f32fdc9d92ba7ba2
https://doi.org/10.1016/j.ejor.2005.07.024
https://doi.org/10.1016/j.ejor.2005.07.024
Publikováno v:
Wiley Encyclopedia of Operations Research and Management Science
In this article, we introduce the subject of support vector machines (SVMs), describing their applications to binary and multiclass classification as well as different SVM formulations that are used in such supervised learning problems. This article
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c8eccb26a6b82c0e7084caf06c480c
https://doi.org/10.1002/9780470400531.eorms0860
https://doi.org/10.1002/9780470400531.eorms0860
Autor:
Robin C. Gilbert, Juan Antonio Aguirre-Cruz, Shivakumar Raman, Theodore B. Trafalis, Suleiman Obeidat
Publikováno v:
Journal of Manufacturing Science and Engineering. 131
Nonlinear forms such as the cone, sphere, cylinder, and torus present significant problems in representation and verification. In this paper we examine linear and nonlinear forms using a heavily modified support vector machine (SVM) technique. The SV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cc4c57a6e132954cef1f474abe879db
https://doi.org/10.1115/1.3160582
https://doi.org/10.1115/1.3160582