radial basis function classification
Efficient Seizure Classification using Multiclass Support Vector Machine with RFE
... other classification schemes, our method is efficient in terms of classification accuracy and computation ...standard Radial Basis Function ...
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Image Segmentation using Classification of Radial Basis Function of Neural Network in Brain Tumor Detection
... density function of the grey values of the image Assume that we have an image consisting of a bright object on a dark background and Assume that we want to extract the ...
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Object classification in 3-D images using alpha-trimmed mean radial basis function network
... In order to model the geometrical shape by the basis functions we can employ a 3-D extension of the HT in combination with the alpha-trimmed mean RBF algorithm. HT represents a mapping from the image features to ...
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Symmetric Radial Basis Function Network Equaliser
... dial basis function (RBF) network ...a classification problem and the optimal solution for this classification problem is known to be the Bayesian equaliser ...
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Compactly Supported Radial Basis Function Kernels
... many classification algorithms by allow- ing nonlinear decision ...surfaces. Radial basis function (RBF) kernels are commonly used but generally associated with dense Gram ...
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Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ...
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Comparison Of Various Kernels Of Support Vector Machine
... know, classification plays an important role in every ...for classification and prediction. For classification and prediction by support vector machine, LIBSVM is being used as a ...kernel ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... the classification of two of the most common thyroid disorders are hyperthyroidism and hypothyroidism among the ...the classification of thyroid plays a significant ...where Radial Basis ...
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Performance Analysis of Automobile data using Bagged Ensemble Classifiers
... process. Classification maps data into predefined groups or ...with radial basis function and support vector machine as the base ...bagged radial basis function and ...
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A Computerized Neural Network System to Filter Unwanted Messages from OSN User Walls
... text classification strategy on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network (SOINN) for their proven capabilities in acting as soft classifiers, in managing noisy ...
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Adaptive Radial Basis Function Detector for Beamforming
... a classification problem [14]- [16], where the receiver detector simply classifies the received multidimensional channel-impaired signal into the most-likely transmitted symbol constellation point or ...the ...
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Classifying ReachOut posts with a radial basis function SVM
... the ith point is misclassified. The C parameter af- fects the tradeoff between training error and model complexity. A small C tends to produce a simpler model, at the expense of possibly underfitting, while a large one ...
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Classification of breast cancer microarray data using radial basis function network
... unnecessary genes before the classification stage is implemented. Based on Farzana Kabir Ahmad, 2008, (cited from Ben-Dor et al., 2000; Guyon et al., 2002; Li, Y. et al., 2002; Tago & Hanai, 2003 ) in many ...
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Face Recognition by Radial Basis Function Network (RBFN)
... on Radial basis function network has been used in this ...for classification of face images as a classifier in the context of face recognition ...
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Brain Tumour Classification Using Radial Bias is Function and Identifying the Stage of the Tumour by Segmentation Methods
... image classification based on training and testing ...with Radial Basis Function will be applied to implement tumour cells segmentation and ...the classification using Neural Network ...
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Heady et al., 1990(Sundaram, 1996). Intrusion detection is classified into two
... of classification methods for intrusion ...hybrid classification method is proposed using classifiers in a heterogeneous environment using arcing classifier and their performances are analyzed in terms of ...
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Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms
... renal function over a period of several months or ...kidney function failure by applying the classification algorithm on the test result obtained from the patient medical ...using ...
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A Robust Nonlinear Beamforming Assisted Receiver for BPSK Signalling
... a Radial Basis Function net- work based on the Relevance Vector Machine (RVM) for classification, and a recursive sample-by-sample adapta- tion is proposed based on an enhanced κ-means ...
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Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls
... text classification strategy on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network (SOINN) for their proven capabilities in acting as soft classifiers, in managing noisy ...
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Computation of transient viscous flows using indirect radial basis function networks
... The accuracy of the method is first examined through the solution of the Stokes flow. The gov- erning equation for this creeping flow can be ob- tained from (13) by simply discarding the non- linear term and setting Re ...
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