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PRL
2010
159views more  PRL 2010»
14 years 10 months ago
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
Muhammad Atif Tahir, Jim E. Smith
122
Voted
MCS
2007
Springer
15 years 5 months ago
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Joseph DePasquale, Robi Polikar
ISIWI
2000
15 years 29 days ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
106
Voted
BIOINFORMATICS
2012
13 years 2 months ago
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models
Summary: The MolClass toolkit and data portal generates computational models from user-defined small molecule datasets based on structural features identified in hit and non-hit m...
Jan Wildenhain, Nicholas FitzGerald, Mike Tyers
ICPR
2010
IEEE
14 years 9 months ago
Local Binary Pattern-Based Features for Text Identification of Web Images
We present a method of robustly identifying a text block in complex web images. The method is a MLP (Multilayer perceptron) classifier trained on LBP (Local binary patterns), wavel...
Insook Jung, Il-Seok Oh