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Properties of Support Vector Machines [1%] by admin, 2007-01-31 11:07
The relation between the solution of SVMs and regularization parameter is studied. It is shown that the decision surface can be written as the sum of ...
A General Framework for Object Detection [1%] by admin, 2007-01-31 11:07
Presents a general trainable framework for object detection in cluttered scenes. Defines an object class in terms of a subset of a dictionary of ...
Learning from Data [1%] by admin, 2007-01-31 11:07
A Tutorial on Support Vector Machines for Pattern Recognition [1%] by admin, 2007-01-31 11:07
A detailed tutorial on Support Vector machines for the classification task, from background material (e.g. VC dimension, structural risk minimization) ...
Kernel PCA Pattern Reconstruction via Approximate Pre-Images [1%] by admin, 2007-01-31 11:07
Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces [1%] by admin, 2007-01-31 11:07
Support Vector Machine — Reference Manual [1%] by admin, 2007-01-31 11:07
Asymptotically Optimal Choice of $\varepsilon$-Loss for Support Vector Machines [1%] by admin, 2007-01-31 11:07
Under the assumption of asymptotically unbiased estimators it is shown that there exists a nontrivial choice of the insensitivity parameter in Vapnik's ...
Data Mining: Overview and Optimization Opportunities [1%] by admin, 2007-01-31 11:07
Overview of data mining problems within the area of knowledge discovery in databases is given and basic categories of these problems are formulated and ...
Feature Selection via Concave Minimization and Support Vector Machines [1%] by admin, 2007-01-31 11:07
Computational comparison is made between two feature selection approaches for finding a separating plane that discriminates between two point sets ...
Massive Data Discrimination via Linear Suppport Vector Machines [1%] by admin, 2007-01-31 11:07
A linear support vector machine formulation is used to generate a fast, finitely-terminating linear-programming chunking algorithm for discriminating ...
Multiplicative Updatings for Support-Vector Learning [1%] by admin, 2007-01-31 11:07
A Multiplicative-Updating algorithm for learning Support Vector machines is presented which exploits the particular structure of high-generalization ...
Dynamically Adapting Kernels in Support Vector Machines [1%] by admin, 2007-01-31 11:07
An algorithm which can automatically perform model selection and learning with no additional computational cost and with no need of a validation set is ...
Trends and Controversies - Support Vector Machines. [1%] by admin, 2007-01-31 11:07
Special feature on SVMs, including a high-level overview and several articles describing successful applications.
Support Vector Regression with Automatic Accuracy Control [1%] by admin, 2007-01-31 11:07
Kernel PCA and De-noising in feature spaces [1%] by admin, 2007-01-31 11:07
Advances in Kernel Methods — Support Vector Learning [1%] by admin, 2007-01-31 11:07
Support Vector Mixture for Classification and Regression Problems. [1%] by admin, 2007-01-31 11:07
This paper studies the incorporation of the SVM into the (hierarchical) mixture of experts model.
Circuital implementation of support vector machines [1%] by admin, 2007-01-31 11:07
A circuital implementation of the learning phase of a SVM is proposed. It is shown that a Hopfield-type recurrent network can be easily implemented for ...
Linear spectral mixture models and support vector machines for remote sensing [1%] by admin, 2007-01-31 11:07
This paper shows an equivalence between the constrained least squares Linear Spectral Mixture Models used for area estimation in remote sensing and the ...
The Kernel Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. [1%] by admin, 2007-01-31 11:07
Generalization Performance of Regularization Networks and Support Vector Machines via Entropy Numbers of Compact Operators [1%] by admin, 2007-01-31 11:07
Margin Distribution Bounds on Generalization [1%] by admin, 2007-01-31 11:07
Generalization Bounds for Convex Combinations of Kernel Functions [1%] by admin, 2007-01-31 11:07
Semiparametric Support Vector and Linear Programming Machines [1%] by admin, 2007-01-31 11:07
Support-Vektor-Lernen [1%] by admin, 2007-01-31 11:07
German summary of Kernel PCA and SV learning
Lernen mit Kernen [1%] by admin, 2007-01-31 11:07
German summary of Learning with Kernels and Entropy Numbers
Robust bounds on the generalization from the margin distribution [1%] by admin, 2007-01-31 11:07
A Tutorial on Support Vector Regression [1%] by admin, 2007-01-31 11:07
New Support Vector Algorithms [1%] by admin, 2007-01-31 11:07

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