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CICLING
2006
Springer
15 years 10 months ago
Improving kNN Text Categorization by Removing Outliers from Training Set
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based...
Kwangcheol Shin, Ajith Abraham, Sang-Yong Han
CAISE
2003
Springer
15 years 10 months ago
Improving the Efficiency of Workflow Analysis
This paper presents an approach for the improvement of the efficiency of the performance analysis of large workflow models. We propose a simple and powerful decidable Petri net red...
Loucif Zerguini
BMCBI
2008
115views more  BMCBI 2008»
15 years 6 months ago
Improving peptide-MHC class I binding prediction for unbalanced datasets
Background: Establishment of peptide binding to Major Histocompatibility Complex class I (MHCI) is a crucial step in the development of subunit vaccines and prediction of such bin...
Ana Paula Sales, Georgia D. Tomaras, Thomas B. Kep...
BMCBI
2008
162views more  BMCBI 2008»
15 years 6 months ago
Improved identification of conserved cassette exons using Bayesian networks
Background: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using...
Rileen Sinha, Michael Hiller, Rainer Pudimat, Ulri...
BMCBI
2006
124views more  BMCBI 2006»
15 years 6 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...