Fast Training Of Support Vector Machines Using Sequential Minimal

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Sequential Minimal Optimization: A Fast Algorithm for ...

    https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-98-14.pdf
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this large QP problem into a series of smallest possible QP problems. These small QP problems are ...Cited by: 3108

Fast Training of Support Vector Machines Using Sequential ...

    https://www.microsoft.com/en-us/research/publication/fast-training-of-support-vector-machines-using-sequential-minimal-optimization/
    This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this QP problem into a …Cited by: 7758

Fast Training of Support Vector Machines Using Sequential ...

    https://www.researchgate.net/publication/234786663_Fast_Training_of_Support_Vector_Machines_Using_Sequential_Minimal_Optimization
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic ...Author: John C. Platt

(PDF) SEQUENTIAL MINIMAL OPTIMIZATION: A FAST ALGORITHM ...

    https://www.researchgate.net/publication/2624239_Sequential_Minimal_Optimization_A_Fast_Algorithm_for_Training_Support_Vector_Machines
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic ...Author: John C. Platt

CiteSeerX — Sequential Minimal Optimization: A Fast ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.560
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this large QP problem into a series of smallest possible QP problems.

Developing parallel sequential minimal optimization for ...

    https://www.sciencedirect.com/science/article/pii/S0925231206001871
    A parallel version of sequential minimal optimization (SMO) is developed in this paper for fast training support vector machine (SVM). Up to now, SMO is one popular algorithm for training SVM, but it still requires a large amount of computation time for solving large size problems.Cited by: 20

Fast training Support Vector Machines using parallel ...

    https://ieeexplore.ieee.org/document/4731075/
    Nov 19, 2008 · Fast training Support Vector Machines using parallel sequential minimal optimization Abstract: One of the key factors that limit support vector machines (SVMs) application in large sample problems is that the large-scale quadratic programming (QP) that arises from SVMs training cannot be easily solved via standard QP technique.

Sequential Minimal Optimization: A Fast Algorithm for ...

    https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-98-14.pdf
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this large QP problem into a series of smallest possible QP problems. These small QP problems are ...Cited by: 3108

Fast Training of Support Vector Machines Using Sequential ...

    https://www.microsoft.com/en-us/research/publication/fast-training-of-support-vector-machines-using-sequential-minimal-optimization/
    This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this QP problem into a …Cited by: 7758

Fast Training of Support Vector Machines Using Sequential ...

    https://www.researchgate.net/publication/234786663_Fast_Training_of_Support_Vector_Machines_Using_Sequential_Minimal_Optimization
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic ...Author: John C. Platt

(PDF) SEQUENTIAL MINIMAL OPTIMIZATION: A FAST ALGORITHM ...

    https://www.researchgate.net/publication/2624239_Sequential_Minimal_Optimization_A_Fast_Algorithm_for_Training_Support_Vector_Machines
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic ...Author: John C. Platt

CiteSeerX — Sequential Minimal Optimization: A Fast ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.560
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this large QP problem into a series of smallest possible QP problems.

Developing parallel sequential minimal optimization for ...

    https://www.sciencedirect.com/science/article/pii/S0925231206001871
    A parallel version of sequential minimal optimization (SMO) is developed in this paper for fast training support vector machine (SVM). Up to now, SMO is one popular algorithm for training SVM, but it still requires a large amount of computation time for solving large size problems.Cited by: 20

Fast training Support Vector Machines using parallel ...

    https://ieeexplore.ieee.org/document/4731075/
    Nov 19, 2008 · Fast training Support Vector Machines using parallel sequential minimal optimization Abstract: One of the key factors that limit support vector machines (SVMs) application in large sample problems is that the large-scale quadratic programming (QP) that arises from SVMs training cannot be easily solved via standard QP technique.

Fast training of support vector machines using sequential ...

    https://dl.acm.org/citation.cfm?id=299094.299105
    Xiaoyun Wu , Rohini Srihari, New ν-support vector machines and their sequential minimal optimization, Proceedings of the Twentieth International Conference on International Conference on Machine Learning, p.824-831, August 21-24, 2003, Washington, DC, USACited by: 7758

[PDF] Sequential Minimal Optimization: A Fast Algorithm ...

    https://www.semanticscholar.org/paper/Sequential-Minimal-Optimization%3A-A-Fast-Algorithm-Platt/53fcc056f79e04daf11eb798a7238e93699665aa
    This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic programming (QP) optimization problem. SMO breaks this large QP problem into a series of smallest possible QP problems. These small QP problems are solved analytically, which avoids using a time ...

Fast training of SVMs using sequential minimal ...

    http://citeseer.ist.psu.edu/showciting?cid=170533
    Very accurate text classifiers can be learned automatically from training examples. Linear Support Vector Machines (SVMs) are particularly promising because they are very accurate, quick to train, and quick to evaluate. 1.1 Keywords Text categorization, classification, support vector machines, machine learning, information management.



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