Results 51 to 60 of about 350,996 (311)

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   +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

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine [PDF]

, 2012
Machine performance degradation assessment and remaining useful life (RUL) prediction are of crucial importance in condition-based maintenance to reduce the maintenance cost and improve the reliability.
Yang, Bo-Suk, Tran, Van Tung, Pham, Hong Thom, Nguyen, Tan Tien   +3 more
core   +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

The support vector decomposition machine [PDF]

Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learning performance. In previous work, many researchers have treated the learning problem in two separate phases: first use an algorithm such as singular value decomposition to ...
Francisco Pereira 0001, Geoffrey J. Gordon   +1 more
openaire   +1 more source

RSVM: Reduced Support Vector Machines

, 2001
An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1% of a large dataset for its explicit evaluation.
Olvi L. Mangasarian, Mangasarian, Olvi, Yuh-Jye Lee, Lee, Yuh-Jye   +3 more
core   +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, Nyitrai, Tamás
core   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

FEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga, Toshiki Takahashi, Akiko Kuma, Hiroyuki Kawahara   +3 more
wiley   +1 more source

A fault diagnosis method of rolling bearing

Gong-kuang zidonghua, 2014
For parameter optimization of support vector machine in fault diagnosis method of rolling bearing based on support vector machine, an improved fruit fly optimization algorithm was proposed which took accuracy rate of pattern classification as taste ...
DONG Jianping, YANG Cheng, LU Xiaoli
doaj   +1 more source

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