Improving support vector machine by preprocessing data with decision tree
@article{Lin2011ImprovingSV, title={Improving support vector machine by preprocessing data with decision tree}, author={Fuming Lin and Jun Guo}, journal={2011 International Conference on Computer Science and Service System (CSSS)}, year={2011}, pages={467-469}, url={https://api.semanticscholar.org/CorpusID:16343131} }
A preprocess method is proposed not only to conquer this flaw of support vector machine, but also improve the generalization precision of SVM.
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11 References
Improving support vector machine classifier by combining it with k nearest neighbor principle based on the best distance measurement
- 2003
Computer Science
An ameliorated method of improving generalization by combining SVM with the k nearest neighbor principle based on the best distance measurement is brought forth, and given an algorithm named BSKSVM, which can truly improve the classification accuracy.
LIBSVM: A library for support vector machines
- 2011
Computer Science, Mathematics
Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
A effective classified algorithm of support vector machine with multi-representative points based on nearest neighbor principle
- 2001
Computer Science
In this paper, a classification algorithm of the support vector machine (SVM) with multi-representative points is studied, which aims at reducing the long training time for large scale data and…
An improved training algorithm for support vector machines
- 1997
Computer Science
This paper presents a decomposition algorithm that is guaranteed to solve the QP problem and that does not make assumptions on the expected number of support vectors.
A Geometrical Method to Improve Performance of the Support Vector Machine
- 2007
Computer Science, Mathematics
This letter investigates a geometrical method to optimize the kernel function, a modification of the one proposed by S. Amari and S. Wu, that works efficiently and overcomes the susceptibility of the original method.
Statistical Learning Theory
- 2020
Computer Science, Mathematics
This chapter presents techniques for statistical machine learning using Support Vector Machines (SVM) to recognize the patterns and classify them, predicting structured objects using SVM, k-nearest neighbor method for classification, and Naive Bayes classifiers.
Improving support vector machine classifiers by modifying kernel functions
- 1999
Computer Science, Mathematics
Induction of decision trees
- 2004
Computer Science
This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, which is described in detail.
The WEKA data mining software: an update
- 2009
Computer Science
This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.
Global Convergence Analysis of Decomposition Methods for Support Vector Regression
- 2008
Computer Science, Mathematics
This paper analyzes the global convergence of decomposition methods for SVR and shows the decomposition Methods for the convex programming problem formulated by Flake and Lawrence always stop within a finite number of iterations.