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Abstract: The k-Nearest-Neighbour (KNN) decision rule has often been used in Pattern Recognition problems. One of the diculties that arises when utilizing this technique is that each of the labeled samples is given equal importance in deciding the class memberships of the pattern to be classi ed, regardless of the "typicalness" of each of the neighbours. (Update)
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BibTeX entry: (Update)
@misc{ sierra-probabilisticweighted,
author = "Basilio Sierra and Elena Lazkano",
title = "Probabilistic-Weighted k-Nearest-Neighbour Algorithm: a New Approach for
Gene Expression Based Classification",
url = "citeseer.ist.psu.edu/764468.html" }
Citations (may not include all citations):760 Probabilistic Reasoning in Intelligent Systems (context) - Pearl - 1988
233 The CN2 induction algorithm - Clark, Nibblet - 1989
164 A study of cross-validation and bootstrap for accuracy estim.. - Kohavi - 1995
39 Feature set search algorithms (context) - Kittler - 1978
31 Molecular Classi cation of Cancer: Class Discovery and Class.. (context) - Golub, Slonim et al. - 1999
22 norms: NN pattern classi cation techniques (context) - Dasarathy, NN - 1991
21 Nearest neighbor pattern classi cation (context) - Cover, Hart - 1967
14 Predicting survival in malignant skin melanoma using bayesia.. - Sierra, naga - 1998
13 Feature Selection for High-Dimensional Genomic Microarray Da.. - Xing, Jordan et al.
11 Tissue Classi- cation with Gene Expression Pro les (context) - Ben-Dor, Bruhn et al. - 2000
6 Machine learning inspired approaches to combine standard med.. (context) - Sierra, Serrano et al. - 1999
5 Computational Analysi Leukemia Microarray Expression Data Us.. (context) - Darden, Analysis et al.
5 How many genes are needed for a discriminant microarray data.. (context) - Li, Yang
4 A Ranking Method to Improve Detection of Disease Using Selec.. (context) - Aris, Recce
4 Selection of Informative Genes in Gene Expression Based Diag.. (context) - Beibel
3 Gene selection by sequential search wrapper approaches in mi.. - Inza, Sierra et al. - 2002
3 Symbolic and Subsymbolic Machine Learning Approaches for Mol.. (context) - Dubitzky, Granzow et al.
3 Supervised and hierarchical unsupervised neural networks for.. (context) - Mateos, Herrero et al.
3 Tumor Tissue Classi cation Using Support vector Machines and.. (context) - Ding
3 Applying Machine Learning Techniques to Analysis of Gene Exp.. (context) - Hwang, Cho et al.
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