Results 41 to 50 of about 1,887,808 (391)
Towards Emotion Recognition: A Persistent Entropy Application [PDF]
, 2018 Emotion recognition and classification is a very active area of research. In this paper, we present a first approach to emotion classification using persistent entropy and support vector machines. A topology-based model is applied to obtain a single real
A Geron +17 more
core +3 more sources
Advanced Engineering Materials, EarlyView., 2023 A numerical scheme is presented to design a lattice support for metallic components additively built via laser powder bed fusion. Results show that thermal‐induced distortion can be respectively reduced by 69%, 58%, and 50% in comparison to a uniform lattice, a fully solid support, and a truss‐based lattice support.
Jiazheng Hu +2 more
wiley +1 more source
Vector machine techniques for modeling of seismic liquefaction data
Ain Shams Engineering Journal, 2014 This article employs three soft computing techniques, Support Vector Machine (SVM); Least Square Support Vector Machine (LSSVM) and Relevance Vector Machine (RVM), for prediction of liquefaction susceptibility of soil.
Pijush Samui
doaj +1 more source
BSP-Based Support Vector Regression Machine Parallel Framework [PDF]
International Journal of Networked and Distributed Computing (IJNDC), 2013 In this paper, we investigate the distributed parallel Support Vector Machine training strategy, and then propose a BSP-Based Support Vector Regression Machine Parallel Framework which can implement the most of distributed Support Vector Regression ...
Hong Zhang, Yongmei Lei
doaj +1 more source
Linear Classification of data with Support Vector Machines and Generalized Support Vector Machines [PDF]
, 2016 In this paper, we study the support vector machine and introduced the notion of generalized support vector machine for classification of data. We show that the problem of generalized support vector machine is equivalent to the problem of generalized variational inequality and establish various results for the existence of solutions.
arxiv +1 more source
IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
I. Ahmad +3 more
semanticscholar +1 more source
KLASIFIKASI PENYAKIT SIROSIS MENGGUNAKAN SUPPORT VECTOR MACHINE
E-Jurnal Matematika, 2023 Cirrhosis is one type of liver disease and is caused by forming fibrosis so that changes the liver structure become abnormal. Based on the presence of ascites, varicose veins, and bleeding, cirrhosis is divided into four clinical stages.
VANIA RISKASARI YR +2 more
doaj +1 more source
On Neural Quantum Support Vector Machines [PDF]
arXiv, 2023 In \cite{simon2023algorithms} we introduced four algorithms for the training of neural support vector machines (NSVMs) and demonstrated their feasibility. In this note we introduce neural quantum support vector machines, that is, NSVMs with a quantum kernel, and extend our results to this setting.
arxiv
Insensitive Stochastic Gradient Twin Support Vector Machine for Large Scale Problems [PDF]
Information Sciences, Volume 462, September 2018, Pages 114-131, 2017 Stochastic gradient descent algorithm has been successfully applied on support vector machines (called PEGASOS) for many classification problems. In this paper, stochastic gradient descent algorithm is investigated to twin support vector machines for classification.
arxiv +1 more source
Using bag-of-concepts to improve the performance of support vector machines in text categorization [PDF]
, 2004 This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as
Cöster, Rickard, Sahlgren, Magnus
core +3 more sources