Keyword: support vector machines

Found 19 papers in total
Linear models for cost-sensitive classification
2015,
In this paper, we investigate the performance of statistical, mathematical programming...
Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods
2014,
Previous studies on financial distress prediction (FDP) almost construct FDP models...
A Density-focused Support Vector Data Description Method
2014,
In novelty detection, support vector data description (SVDD) is a one‐class...
Reliability assessment using probabilistic support vector machines
2013,
This paper presents a methodology to calculate probabilities of failure using...
Machine learning for global optimization
2012,
In this paper we introduce the LeGO ( Le arning for G lobal O ptimization) approach...
Maximizing upgrading and downgrading margins for ordinal regression
2011,
In ordinal regression, a score function and threshold values are sought to classify a...
A Linearly Convergent Linear‐Time First‐Order Algorithm for Support Vector Classification with a Core Set Result
2011,
We present a simple first‐order approximation algorithm for the support vector...
Kernel logistic regression using truncated Newton method
2011,
Kernel logistic regression (KLR) is a powerful nonlinear classifier. The combination...
Support vector machines for classification of input vectors with different metrics
2011,
In this paper, a generalization of support vector machines is explored where it is...
Parallel algorithm for training multiclass proximal Support Vector Machines
2011,
In this paper we describe a proximal Support Vector Machine algorithm for...
Using an iterative linear solver in an interior‐point method for generating support vector machines
2010,
This paper concerns the generation of support vector machine classifiers for solving...
A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training
2010,
Support vector machines (SVMs) training may be posed as a large quadratic program (QP)...
Least-squares support vector machine approach to viral replication origin prediction
2010,
Replication of their DNA genomes is a central step in the reproduction of many...
Binarized support vector machines
2010,
The widely used support vector machine (SVM) method has shown to yield very good...
Adjusted support vector machines based on a new loss function
2010,
Support vector machine (SVM) has attracted considerable attentions recently due to its...
Support vector machine learning with an evolutionary engine
2009,
The paper presents a novel evolutionary technique constructed as an alternative of the...
Robust classification and regression using support vector machines
2006,
In this paper, we investigate the theoretical aspects of robust classification and...
An experimental comparison of some efficient approaches for training support vector machines
2004,
Support Vector Machines (SVMs) are one of the most widely used techniques for...
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