Results 41 to 50 of about 9,444,467 (301)
Twin Support Vector Machine: A review from 2007 to 2014
Egyptian Informatics Journal, 2015 Twin Support Vector Machine (TWSVM) is an emerging machine learning method suitable for both classification and regression problems. It utilizes the concept of Generalized Eigen-values Proximal Support Vector Machine (GEPSVM) and finds two non-parallel ...
Divya Tomar, Sonali Agarwal
doaj +1 more source
Least Squares Support Vector Machine for Minimizing VC Dimensional Expectation Upper Bound [PDF]
Jisuanji kexue yu tansuo, 2023 Machine learning is an important aspect of modern computer technology, and the support vector machine method has been widely used in all walks of life because of its good performance in recent years.
LI Hao, WANG Shitong
doaj +1 more source
Gaussian Pyramid for Nonlinear Support Vector Machine
Applied Computational Intelligence and Soft Computing, 2022 Support vector machine (SVM) is one of the most efficient machine learning tools, and it is fast, simple to use, reliable, and provides accurate classification results.
Rawan Abo Zidan, George Karraz
doaj +1 more source
Application of support vector machines on the basis of the first Hungarian bankruptcy model [PDF]
, 2013 In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of ...
Virág, Miklós +3 more
core +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
$$\nu $$ ν -Improved nonparallel support vector machine
Scientific Reports, 2022 In this paper, a $$\nu $$ ν -improved nonparallel support vector machine ( $$\nu $$ ν -IMNPSVM) is proposed to solve binary classification problems.
Fengmin Sun, Shujun Lian
doaj +1 more source
SUPPORT VECTOR MACHINE BASED DISEASE DIAGNOSTIC ASSISTANT [PDF]
ICTACT Journal on Soft Computing, 2019 There has been a huge growth both in data and computing technology which has made it easier for the development of artificial intelligent systems that are capable of learning from this data and make medical diagnosis on their own.
Samuel Ndirangu, Davies Segera
doaj +1 more source
Boosting Support Vector Machines [PDF]
Revista de Ingeniería, 2006 En este articulo, se presenta un algoritmo de clasificacion binaria basado en Support Vector Machines (Maquinas de Vectores de Soporte) que combinado apropiadamente con tecnicas de Boosting consigue un mejor desempeno en cuanto a tiempo de entrenamiento y conserva caracteristicas similares de generalizacion con un modelo de igual complejidad pero de ...
Elkin García, Fernando Lozano
openaire +2 more sources
Transformers as Support Vector Machines
CoRR, 2023 Since its inception in "Attention Is All You Need", transformer architecture has led to revolutionary advancements in NLP. The attention layer within the transformer admits a sequence of input tokens $X$ and makes them interact through pairwise similarities computed as softmax$(XQK^\top X^\top)$, where $(K,Q)$ are the trainable key-query parameters. In
Davoud Ataee Tarzanagh +3 more
openaire +2 more sources
tum-camp/survival-support-vector-machine v2.0
, 2016 <p>This release adds an efficient training algorithm for the kernel survival support vector machine.</p ...
Sebastian Pölsterl
core +1 more source