نتایج جستجو برای: predictionnearest shrunken centroid

تعداد نتایج: 9551  

2016
Kylie A. Bemis

2 Analysis of a pig fetus wholy body cross section 1 2.1 Pre-processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.1 Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.2 Peak picking and alignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Visualizin...

Journal: :Biostatistics 2007
Yaqian Guo Trevor Hastie Robert Tibshirani

In this paper, we introduce a modified version of linear discriminant analysis, called the "shrunken centroids regularized discriminant analysis" (SCRDA). This method generalizes the idea of the "nearest shrunken centroids" (NSC) (Tibshirani and others, 2003) into the classical discriminant analysis. The SCRDA method is specially designed for classification problems in high dimension low sample...

2005
YAQIAN GUO TREVOR HASTIE ROBERT TIBSHIRANI

In this paper, we introduce a modified version of linear discriminant analysis, called “shrunken centroids regularized discriminant analysis” (SCRDA). This method generalizes the idea of “nearest shrunken centroids” (NSC) [Tibshirani et al., 2003] into the classical discriminant analysis. The SCRDA method is specially designed for classification problems in high dimension low sample size situat...

2007
William A. Thompson Lee Aaron Newberg Sean Conlan Lee Ann McCue Charles E. Lawrence

The Gibbs Centroid Sampler is a software package designed for locating conserved elements in biopolymer sequences. The Gibbs Centroid Sampler reports a centroid alignment, i.e. an alignment that has the minimum total distance to the set of samples chosen from the a posteriori probability distribution of transcription factor binding-site alignments. In so doing, it garners information from the f...

2012
Gita Sinha Rajneesh Rani Renu Dhir Chih-Chung Chang Rafael M. O. Cruz George D. C. Cavalcanti Tsang Ing Ren L R Ragha M Sasikumar Xuewen Wang Xiaoqing Ding Arif Billah Al-Mahmud Mahesh Jangid Kartar Singh Poulami Das Suchandra Paul Ranjit Ghoshal Sushama Shelke Shaila Apte Shailedra Kumar Shrivastava Sanjay S. Gharde

This paper presents an overview of Feature Extraction techniques for off-line recognition of isolated Gurumukhi numerals/characters. Selection of Feature Extraction method is probably the single most important factor in achieving high performance in pattern recognition. Our paper presents Zone based hybrid approach which is the combination of image centroid zone and zone centroid zone of numera...

2011
Mehak Khurana Ashish payal

-In Wireless sensor network (WSN), estimating the exact position of sensor node is an important research problem and its location accuracy impacts the efficiency of localization algorithms. In this paper improved centroid range free localization method is proposed and comparison with conventional centroid is done by varying different parameters such as anchor nodes, communication range and node...

Journal: :Advances in Mathematics 2002

Journal: :Monthly Notices of the Royal Astronomical Society 2014

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