Results 31 to 40 of about 350,996 (311)
Solving Support Vector Machine with Many Examples
Various methods of dealing with linear support vector machine (SVM) problems with a large number of examples are presented and compared. The author believes that some interesting conclusions from this critical analysis applies to many new optimization ...
Paweł Białoń
doaj +1 more source
Quantum-Enhanced Support Vector Machine for Sentiment Classification
Quantum computers have potential computational abilities such as speeding up complex computations, parallelism by superpositions, and handling large data sets. Moreover, the field of natural language processing (NLP) is rapidly attracting researchers and
Fariska Zakhralativa Ruskanda +4 more
doaj +1 more source
Robust ASR using Support Vector Machines [PDF]
The improved theoretical properties of Support Vector Machines with respect to other machine learning alternatives due to their max-margin training paradigm have led us to suggest them as a good technique for robust speech recognition. However, important
F. Díaz-de-María +17 more
core +1 more source
L2P-Norm Distance Twin Support Vector Machine
A twin support vector machine (TWSVM) is an effective classifier, especially for binary data, which is defined by squared l2-norm distance in the objective function.
Xu Ma, Qiaolin Ye, He Yan
doaj +1 more source
A Multiclass Nonparallel Parametric-Margin Support Vector Machine
The twin parametric-margin support vector machine (TPMSVM) is an excellent kernel-based nonparallel classifier. However, TPMSVM was originally designed for binary classification, which is unsuitable for real-world multiclass applications. Therefore, this
Shu-Wang Du +5 more
doaj +1 more source
Support Vector Machine State Estimation
The power system state estimator based on the support vector machine (SVM) and the weighted least squares (WLS) method is presented in the paper. The WLS provides state estimations necessary for creating SVM model which is then used for state estimation.
Vedran Kirinčić +3 more
doaj +1 more source
KLASIFIKASI PENYAKIT SIROSIS MENGGUNAKAN SUPPORT VECTOR MACHINE
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
Linear Classification of Data with Support Vector Machines and Generalized Support Vector Machines [PDF]
submitted
Xiaomin Qi +2 more
openaire +2 more sources
Transformers as Support Vector Machines
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
Turbopump Condition Monitoring Using Incremental Clustering and One-class Support Vector Machine [PDF]
: Turbopump condition monitoring is a significant approach to ensure the safety of liquid rocket engine (LRE). Because of lack of fault samples, a monitoring system cannot be trained on all possible condition patterns.
Gu, Fengshou +7 more
core +1 more source

