Searching for "Comparing Support Vector Machines" – sorted by Relevance.
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Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
- , 1996 C.B.C.L. Paper No. 142 Comparing Support Vector Machines with Gaussian Kernels to Radial Basis
- Cited by 87 (13 self) – Add To MetaCart
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Support vector machine for regression and applications to financial forecasting
- of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques
- Cited by 12 (0 self) – Add To MetaCart
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The set covering machine with data-dependent halfspaces
- compared the practical performance of the SCM with the Support Vector Machine (SVM) equipped with a
- Cited by 2 (1 self) – Add To MetaCart
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Intrusion Detection Systems Using Decision Trees and Support Vector Machines
- compare decision tress with support vector machines. We investigate and evaluate intelligent systems
- Cited by 6 (6 self) – Add To MetaCart
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Sketched symbol recognition using zernike moments
- symbols and three different classification techniques are compared: Support Vector Machines (SVM), Minimum
- Cited by 11 (0 self) – Add To MetaCart
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Evolutionary Selection of Kernels in Support Vector Machines
- that the Evolutionary Support Vector Machine has good generalization properties when compared with Support Vector
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T.: Fast n-fold cross-validation for regularized least-squares
- comparable to that of the support vector machines in several machine learning tasks. In small scale problems
- Cited by 2 (2 self) – Add To MetaCart
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Capturing fine-phonetic variation in speech through automatic classification of articulatory features
- here, we compared support vector machines (SVMs) with multilayer perceptrons (MLPs). MLPs have been
- Cited by 3 (2 self) – Add To MetaCart
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Slovenian Pattern Recognition Society, Ljubljana, Slovenia Temporal Segmentation of Group Motion using Gaussian Mixture Models
- continuity of the game. The presented approach is compared to the Support Vector Machine (SVM) classifier
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Severe Storm Cell Classification Using Support Vector Machines And Radial Basis Function Approaches
- in the classification over a testing set. The three approaches compared are the support vector machine (SVM) classifier
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