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» Low Bias Bagged Support Vector Machines
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IDA
2006
Springer
13 years 7 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
TCBB
2010
112views more  TCBB 2010»
13 years 2 months ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
ICIAP
2003
ACM
14 years 26 days ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello
ICPR
2010
IEEE
13 years 5 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Peptide Charge State Determination for Low-Resolution Tandem Mass Spectra
Mass spectrometry is a particularly useful technology for the rapid and robust identification of peptides and proteins in complex mixtures. Peptide sequences can be identified b...
Aaron A. Klammer, Christine C. Wu, Michael J. MacC...