[PDF] Top 20 A Support Vector Method for Multivariate Performance Measures
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A Support Vector Method for Multivariate Performance Measures
... classifier performance while error rate is not suitable due to a large imbal- ance between positive and negative ...specific performance measure, which is likely to produce suboptimal ...optimize ... See full document
8
Smoothing Multivariate Performance Measures
... Optimizing multivariate performance measure is an important task in Machine ...a Support Vector Method whose underlying optimization problem is commonly solved by cutting plane methods ... See full document
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Support Vector approach by using Radial Kernel Function for Prediction of Software Maintenance Effort on the basis of Multivariate Approach
... Instead of minimizing the observed training error, Support Vector Regression (SVR) attempts to minimize the generalization error bound so as to achieve generalized performance. The idea of SVR is ... See full document
5
Data mining and statistical approaches in debris flow susceptibility modelling using airborne LiDAR data
... techniques; Multivariate Adaptive Regression Splines (MARS) and Support Vector Regression (SVR) ...higher performance of MARS (93% and 83%) over SVR (76% and ... See full document
32
A Method for Surface Reconstruction Based on Support Vector Machine
... a method for reconstruct surface based on Support Vector Machine (SVM) is ...simplification method is employed to simplify cloud points ...reconstruction method based on segmented data ... See full document
7
Signature Recognition with Zernike Moment Method Using Support Vector Machine
... 6. Ravinder Kumarl and Poonam Singhal in the year 2017 doing research with the title “Signature Verification Using Support Vector Machine”. From the results of research, the system uses features extracted ... See full document
7
Automated Glaucoma Detection Using Support Vector Machine Classification Method
... novel method for to detect glaucoma using digital fundus ...(PCA) method is used for extracting features from pre- processed ...a Support Vector Machine (SVM) classifier for training ...The ... See full document
12
A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... Thyroid diseases are widespread worldwide. In India too, there is a significant problems caused due to thyroid diseases. Various research studies estimates that about 42 million people in India suffer from thyroid ... See full document
11
An Support Vector Regression Based Nonlinear Modeling Method for Sic Mesfet
... SiC MESFETs are popular devices for power amplifier design in high- power and high-temperature applications because of SiC’s superior properties, such as high breakdown voltage, high thermal conductivity, and high ... See full document
12
Efficient Method for Video Summarization Using Support Vector Machine
... Support vector machine (SVM) is a non-linear ...the method is to nonlinearly map the input data to some high dimensional space, where the data can be linearly separated, thus providing great ... See full document
8
Performance comparison of three artificial neural network methods for classification of electroencephalograph signals of five mental tasks
... the performance of neural network with resilient back propagation training method, support vector machine and radial bases function Neural Net- work for classifying of mental tasks ...network ... See full document
6
A Study of Monitoring Non-normal Multivariate Process Using Support Vector Machine
... In this paper, we presented a relationship between the non-normal multivariate distributions and parameters of SVM to obtain classification rate. After obtaining the proper parameters of SVM, we discuss the ... See full document
6
A Fast and Stable Cluster Labeling Method for Support Vector Clustering
... whereas performance of the others are unstable. In most cases, kNN, CCL and FSVC perform well, but the cluster labeling time increases dramatically as the dimensionality and size of a data set increases. ... See full document
6
Online Full Text
... Fuzzy Support Vector Machines (PSOFuzzySVM) to predict oil well gas lift performance and production optimization in a ...The performance of a production well is a function of several ...the ... See full document
7
Support vector machines applied to the genetic classification problem of hybrid populations with high degrees of similarity
... proposed method known as Support Vector Machine (SVM) (James et ...good performance from the set of data training and testing (James et ...good performance for the samples that were not ... See full document
10
Bootstrapping realized multivariate volatility measures
... on multivariate high frequency returns, including the realized covariance, the realized regression and the realized correlation coeffi- ...the vector of realized ...this method to realized volatility ... See full document
39
Data Mining Techniques for Forecasting the Medical Resource Consumption of Patients with Diabetic Nephropathy Lee et al.
... regression, multivariate adaptive regression splines (MARS), support vector regression, and two- stage model ...forecasting performance out of the five data mining ... See full document
14
To Improve the Performance of Handwritten digit Recognition using Support Vector Machine
... of class separation, the reason for it to be known also as large margin classifier. The basic SVM formulation is for linearly separable datasets. It can be used for nonlinear datasets by indirectly mapping the nonlinear ... See full document
7
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
... Our large-margin method learns latent variable models via optimizing non-decomposable loss func- tions. It interleaves the Concave-Convex Procedure (CCCP) (Yuille and Rangarajan, 2001) for populat- ing latent ... See full document
9
Support Vector Machines
... By examining the dual form of the optimization problem, we gained sig- nificant insight into the structure of the problem, and were also able to write the entire algorithm in terms of only inner products between input ... See full document
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