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SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
14 years 5 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
CCECE
2006
IEEE
14 years 7 days ago
Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix
This paper presents a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed scheme uses a forgetting processed input matrix as the projec...
Tao Dai, Andy Adler, Behnam Shahrrava
CAISE
2005
Springer
14 years 2 months ago
Weighted Evaluation of Ontology Building Methods
Ontologies are the core component in semantic Web applications. The employment of an ontology building method affects the quality of ontology and the applicability of ontology lang...
Sari Hakkarainen, Darijus Strasunskas, Lillian Hel...
IFIP12
2009
13 years 6 months ago
Preferential Infinitesimals for Information Retrieval
In this paper, we propose a preference framework for information retrieval in which the user and the system administrator are enabled to express preference annotations on search ke...
Maria Chowdhury, Alex Thomo, William W. Wadge
JMLR
2012
11 years 11 months ago
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
We present a minimax framework for classification that considers stochastic adversarial perturbations to the training data. We show that for binary classification it is equivale...
Roi Livni, Koby Crammer, Amir Globerson