Results 31 to 40 of about 469,122 (324)
Damage Diagnosis of Bolt Loosening via Vector Autoregressive - Support Vector Machines
Hittite Journal of Science and Engineering, 2020 Developments in engineering techniques have concentrated on how to build better solutions for engineering structures in order to main the integrity and to reduce the costs in operations.
Mahmut Pekedis
doaj +1 more source
The Stata Journal: Promoting communications on statistics and Stata, 2016 Support vector machines are statistical- and machine-learning techniques with the primary goal of prediction. They can be applied to continuous, binary, and categorical outcomes analogous to Gaussian, logistic, and multinomial regression. We introduce a new command for this purpose, svmachines.
Nick Guenther, Matthias Schonlau
openaire +1 more source
Support vector machines with a reject option [PDF]
, 2011 This paper studies $\ell_1$ regularization with high-dimensional features for support vector machines with a built-in reject option (meaning that the decision of classifying an observation can be withheld at a cost lower than that of misclassification ...
Wegkamp, Marten, Yuan, Ming
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Structured variable selection in support vector machines [PDF]
, 2008 When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelevant predictors.
Wu, Seongho, Yuan, Ming, Zou, Hui
core +2 more sources
Explaining Support Vector Machines: A Color Based Nomogram. [PDF]
PLoS ONE, 2016 PROBLEM SETTING:Support vector machines (SVMs) are very popular tools for classification, regression and other problems. Due to the large choice of kernels they can be applied with, a large variety of data can be analysed using these tools.
Vanya Van Belle +4 more
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Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Twin Bounded Weighted Relaxed Support Vector Machines
IEEE Access, 2019 Data distribution has an important role in classification. The problem of imbalanced data has occurred when the distribution of one class, which usually attends more interest, is negligible compared with other class.
Fatemeh Alamdar +2 more
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Properties of Support Vector Machines [PDF]
, 1997 Support Vector Machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed Support Vectors (SV).
Pontil, Massimiliano, Verri, Alessandro
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Molecular Oncology, EarlyView.CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir +12 more
wiley +1 more source
Recent advances on support vector machines research
Technological and Economic Development of Economy, 2012 Support vector machines (SVMs), with their roots in Statistical Learning Theory (SLT) and optimization methods, have become powerful tools for problem solution in machine learning.
Yingjie Tian, Yong Shi, Xiaohui Liu
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