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2009, 1st ed., Wiley series on methods and applications in data mining, ISBN 0470371927, xv, 246
An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only... 
Support vector machines | Computer algorithms | Data mining | Machine learning | COMPUTERS / Databases / Data Mining
Book
ACM Transactions on Intelligent Systems and Technology (TIST), ISSN 2157-6904, 04/2011, Volume 2, Issue 3, pp. 1 - 27
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily... 
Classification LIBSVM optimization regression support vector machines SVM | Algorithms | WORKING SET SELECTION | COMPUTER SCIENCE, INFORMATION SYSTEMS | Experimentation | Performance | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
2011, ISBN 9781439821275, x, 201
Book
Journal Article
2005, Studies in fuzziness and soft computing, ISBN 9783540243885, Volume 177, x, 431
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of... 
Pattern recognition systems | Data mining | Machine learning | Artificial Intelligence (incl. Robotics) | Engineering | Pattern Recognition | Appl.Mathematics/Computational Methods of Engineering
Book
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 2011, Volume 66, Issue 3, pp. 247 - 259
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2006, Volume 15, Issue 9, pp. 1 - 28
Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in... 
Support vector machines | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | support vector machines
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 05/2010, Volume 11, pp. 1663 - 1707
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a... 
Distributed data mining | Sensor networks | Distributed optimization | Distributed learning | Support vector machine | support vector machine | distributed optimization | RECOGNITION | distributed data mining | distributed learning | sensor networks | NETWORKS | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 07/2014, Volume 44, Issue 7, pp. 1067 - 1079
Journal Article
2011, Synthesis lectures on artificial intelligence and machine learning, ISBN 9781608456178, Volume 10
Support Vectors Machines have become a well established tool within machine learning.They work well in practice and have now been used across a wide range of... 
Support vector machines | Kernels | Learning | Data integration | Classification | Prediction | Regression | Support Vector Machine | Generalization | Optimization
Web Resource
2011, Synthesis lectures on artificial intelligence and machine learning, ISBN 9781608456178, Volume 10
Web Resource
The Stata Journal, ISSN 1536-867X, 12/2016, Volume 16, Issue 4, pp. 917 - 937
Support vector machines are statistical- and machine-learning techniques with the primary goal of prediction. They can be applied to continuous, binary, and... 
Support vector machines | St0461 | Svm | Statistical learning | Svmachines | Machine learning | REGRESSION | statistical learning | support vector machines | TUTORIAL | st0461 | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | svm | machine learning | svmachines | Statistical learning (Psychology) | Methods
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 07/2009, Volume 10, pp. 1485 - 1510
We consider regularized support vector machines (SVMs) and show that they are precisely equivalent to a new robust optimization formulation. We show that this... 
Robustness | Support vector machine | Generalization | Kernel | Regularization | REGRESSION | kernel | STABILITY | regularization | robustness | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | CONSISTENCY | support vector machine | generalization | CONVEX RISK MINIMIZATION | UNCERTAIN DATA | LEARNING-THEORY | AUTOMATION & CONTROL SYSTEMS
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2011, Volume 33, Issue 2, pp. 368 - 381
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2019, Volume 343, pp. 50 - 64
Many machine learning applications involve imbalance class prior probabilities, multi-class classification with many classes (often addressed by... 
Cost-sensitive learning | SVM | Bayes consistency | Class imbalance | Classification | SVMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | Analysis | Algorithms | Machine learning
Journal Article
2008, 1st ed., Information science and statistics, ISBN 9780387772417
Web Resource
Pattern Recognition, ISSN 0031-3203, 06/2015, Volume 48, Issue 6, pp. 2110 - 2117
The problem of one-against-all support vector machines (SVMs) for multilabel classification is that a data sample may be classified into a multilabel class... 
Support vector machines | Training | Multilabel classification | Pattern classification | PATTERN-CLASSIFICATION | TEXT CATEGORIZATION | SYSTEMS | ELLIPSOIDAL REGIONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
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