[PDF] Top 20 A novel support vector machine-based approach for rare variant detection.
Has 10000 "A novel support vector machine-based approach for rare variant detection." found on our website. Below are the top 20 most common "A novel support vector machine-based approach for rare variant detection.".
A novel support vector machine-based approach for rare variant detection.
... multiple rare single nucleotide polymorphisms involved in diseases or ...identifying rare variants that contribute to disease susceptibility have recently been ...multiple rare single nucleotide ... See full document
9
Discontinuity Detection in the Shield Metal Arc Welding Process
... the detection of discontinuities in the weld bead applied in Shielded Metal Arc Welding (SMAW) ...The detection system is based on two sensors—a microphone and piezoelectric—that acquire acoustic ... See full document
14
Classifying Cyst and Tumor Lesion Using Support Vector Machine Based on Dental Panoramic Images Texture Features
... research based on textures have been reported [12]– [19] but the object of research were not in the field of dental panoramic images and the classifier was not ...a novel approach involving an ... See full document
9
Detection of Alzheimer’s disease by displacement field and machine learning
... proximal support vector machine ...tumor detection. Zhang et al. (2015f) proposed a novel classification system that implemented 3D discrete wavelet transform (3D-DWT) to extract ... See full document
29
Morphological analysis of dendrites and spines by hybridization of ridge detection with twin support vector machine
... a novel three-step cascaded algorithm–RTSVM— which is composed of ridge detection as the curvature structure identifier for backbone extraction, boundary location based on differences in density, the ... See full document
19
Comparison of support vector machine and object based classification methods for coastline detection
... object based classification gives us an opportunity for setting specific customized features or calculation specific indices, accuracy of segmentation affects directly classification ...pixel-based ... See full document
3
A Computer Aided Diagnosis System for Lung Cancer Detection Using Support Vector Machine
... neural-network-based approach to lung nodule ...system based on two-level Artificial Neural Network (ANN) ...the detection of suspicious regions in a low-resolution ... See full document
7
A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.
... the support vectors are retained in ...efficient approach of improving the training speed, decreasing the memory requirement and guaranteeing the classi- fication ...for support vector ... See full document
19
Lat. Am. j. solids struct. vol.12 número2
... Metamodeling approach (some- times also called response surface methodology) has been used for the development and the im- provement of designs and ...searched based on sequential exploration of the region ... See full document
24
Comparing support vector machines and artificial neural networks in the recognition of steering angle for driving of mobile robots through paths in plantations
... Due the position of the camera with respect to the terrain it is possible that some images include paths adjacent to the main path. The elimination of those paths reduces the number of information to be processed by both ... See full document
10
Support vector machine-based classification of neuroimages in Alzheimer’s disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals
... The lowest diagnostic accuracy resulted from using only T1-MRI data. One possibility is that nonspecific find- ings of brain atrophy – variably detected in cognitively preserved elderly subjects – may complicate the ... See full document
11
Rev. Bras. Psiquiatr.
... The lowest diagnostic accuracy resulted from using only T1-MRI data. One possibility is that nonspecific find- ings of brain atrophy – variably detected in cognitively preserved elderly subjects – may complicate the ... See full document
11
Forecasting bus passenger flows by using a clustering-based support vector regression approach
... There are two parameters ( γ , σ 2 ) for the RBF based LSSVR and these parameters ( γ , t, q) for the Poly based LSSVR to be determined. Considering the simple implemen- tation (easy to realize and ... See full document
10
Classification of Brain Tumor Using Support Vector Machine Classfiers
... when tumor is able to be detected. In our work, we suggest a set of 12 GLCM based textural features which can be extracted from each of the gray tone spatial-dependence matrices. For classification we used SVM ... See full document
5
Packet Classification using Support Vector Machines with String Kernels
... This approach uses a set of sample traffic trace to train the classification engine to identify future traffic based on the application flow behaviors, such as packet length, inter- packet arrival time, TCP and ... See full document
5
J. Aerosp. Technol. Manag. vol.7 número1
... Diferent industries including computer, ships, computer numerical control (CNC) machining and aerospace have devoted a lot to develop a series of man-hour management sotware with good performance. Man-hour prediction has ... See full document
12
APLICAÇÃO DO ALGORITMO SUPPORT VECTOR MACHINE NA ANÁLISE ESPAÇO-TEMPORAL DO USO E OCUPAÇÃO DO SOLO NA BACIA DO RIO VIEIRA
... Para a classificação das imagens LANDSAT5 – TM foram utilizadas as bandas 3, 4 e 5, respectivamente na composição RGB, utilizando o algoritmo classificador Support Vector Machine, utilizou-se a ... See full document
12
Avaliação de baseados em aprendizado de máquina para a classificação do uso e cobertura da terra no bioma caatinga
... O manejo adequado dos recursos naturais em ambientes frágeis, como o da Caatinga, requer o conhecimento de suas propriedades e distribuição espacial. Nesse contexto, o trabalho tem por objetivo avaliar o desempenho de ... See full document
15
A Hands-on Approach on Botnets for Behavior Exploration
... Abstract: A botnet consists of a network of computers that run a special software that allows a third-party to remotely control them. This characteristic presents a major issue regarding security in the Internet. ... See full document
7
Off-line signature verification based on hus moment invariants and zone features using support vector machine
... Abstract- An off-line signature verification system that incorporates a novel feature extraction technique is proposed in this paper. Moments of images have been used expansively in image analysis applications. In ... See full document
8
temas relacionados