نتایج جستجو برای: backward elimination procedure

تعداد نتایج: 689548  

Journal: :journal of advances in computer research 2016
zahra sadeghi hamid jazayeriy soheil fateri

premature ventricular contraction (pvc) is one of the common cardiac arrhythmias. the occurrence of pvc is dangerous in people who have recently undergone heart. a pvc beat can easily be diagnosed by a doctor based on the shape of the electrocardiogram signal. but in automatic detection, extracting several important features from each beat is required. in this paper, a method for automatic dete...

Journal: :Int. J. Hybrid Intell. Syst. 2004
Xia Hong Christopher J. Harris Martin Brown Sheng Chen

Three hybrid data based model construction/pruning formula are introduced by using backward elimination as automatic postprocessing approaches to improved model sparsity. Each of these approaches is based on a composite cost function between the model fit and one of three terms of A-/D-optimality / (parameter 1-norm in basis pursuit) that determines a pruning process. The A-/D-optimality based ...

2016
Jeonghwan Park Kang Li Huiyu Zhou

We present a new wrapper feature selection algorithm for human detection. This algorithm is a hybrid feature selection approach combining the benefits of filter and wrapper methods. It allows the selection of an optimal feature vector that well represents the shapes of the subjects in the images. In detail, the proposed feature selection algorithm adopts the k-fold subsampling and sequential ba...

Journal: :Signal Processing 2001
Shane F. Cotter Kenneth Kreutz-Delgado Bhaskar D. Rao

Selection of a subset of vectors from a larger dictionary of vectors arises in a wide variety of application areas. This problem is known to be NP-hard and many algorithms have been proposed for the suboptimal solution of this problem. The focus of this paper is the development of a backward sequential elimination algorithm wherein, starting from the full dictionary, elements are deleted until ...

2004
Ming Yuan Yi Lin

We consider the problem of selecting grouped variables (factors) for accurate prediction in regression. Such a problem arises naturally in many practical situations with the multi-factor ANOVA problem as the most important and well known example. Instead of selecting factors by stepwise backward elimination, we focus on estimation accuracy and consider extensions of the LASSO, the LARS, and the...

Journal: :Jambura Journal of Electrical and Electronics Engineering 2023

RTP2S merupakan program pencanangan Rumah Tangga Pelopor Pencegahan Stunting, pendekatanya diimplementasikan melalui model pilot yang didasarkan desa lokus stunting dan bermasalah sanitasi air bersih. Permaslahan terjadi yaitu pemerintah tidak ada data langsung dari masyarakat untuk mengetahui berhasil tidaknya atau puas masyarajkat dengan adanya telah dijalankan. Klasifikasi keberasilan dinila...

2010
Patrick Meyer Daniel Marbach Sushmita Roy Manolis Kellis

Unraveling transcriptional regulatory networks is essential for understanding and predicting cellular responses in different developmental and environmental contexts. Information-theoretic methods of network inference have been shown to produce high-quality reconstructions because of their ability to infer both linear and non-linear dependencies between regulators and targets. In this paper, we...

Journal: :Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC 2008
Eileen K Hutton Carolyn A Saunders Maobing Tu Kathrin Stoll Jonathan Berkowitz Early External Cephalic Version Trial Collaborators Group

OBJECTIVES The objective of this research was to determine factors that were associated with a successful external cephalic version (ECV) procedure. METHODS We undertook a secondary analysis of data from a randomized controlled trial, The Early External Cephalic Version (Pilot) Trial. In this secondary analysis, we included data for the subset of 178 women who had an ECV as part of the pilot ...

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