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CIMCA
2005
IEEE
14 years 3 months ago
Independent Nearest Features Memory-Based Classifier
The classification task is one of the most important problems in the area of data mining. In this paper we propose a new algorithm for addressing this problem. The main idea deriv...
Christos Pateritsas, Andreas Stafylopatis
LWA
2004
13 years 11 months ago
A Simple Method For Estimating Conditional Probabilities For SVMs
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
Stefan Rüping
ICMLC
2010
Springer
13 years 8 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
ICDAR
1999
IEEE
14 years 2 months ago
Multifont Classification using Typographical Attributes
This paper introduces a multifont classification scheme to help recognition of multifont and multisize characters. It uses typographical attributes such as ascenders, descenders a...
Min-Chul Jung, Yong-Chul Shin, Sargur N. Srihari
ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
13 years 8 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou