Results 51 to 60 of about 151,552 (262)
Generalized distribution Sechk
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 Model of generalized law of distribution of Sechk and its researched application in statistical radio engineering. Base attributes and statisticians of distribution are given.
A. V. Ausiannikau
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Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
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A Review on Estimation of Distribution Algorithms
, 2002 In this chapter, we review the Estimation of Distribution Algorithms proposed for the solution of combinatorial optimization problems and optimization in continuous domains. Different approaches for Estimation of Distribution Algorithms have been ordered by the complexity of the interrelations that they are able to express.
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Regularized continuous estimation of distribution algorithms
Applied Soft Computing, 2013 Regularization is a well-known technique in statistics for model estimation which is used to improve the generalization ability of the estimated model. Some of the regularization methods can also be used for variable selection that is especially useful in high-dimensional problems.
Karshenas, Hossein +3 more
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FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
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Strategic Decision-Making Learning from Label Distributions: An Approach for Facial Age Estimation
Sensors, 2016 Nowadays, label distribution learning is among the state-of-the-art methodologies in facial age estimation. It takes the age of each facial image instance as a label distribution with a series of age labels rather than the single chronological age label ...
Wei Zhao, Han Wang
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FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
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International Journal of Advanced Robotic Systems, 2013 Estimation of distribution algorithms (EDAs), as an extension of genetic algorithms, samples new solutions from the probabilistic model, which characterizes the distribution of promising solutions in the search space at each generation.
Hua Xu, Jiadong Yang, Peifa Jia, Yi Ding
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
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Journal of Statistical Software, 2010 This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed ...
Roberto Santana +7 more
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