Results 21 to 30 of about 1,117,435 (318)
Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases. [PDF]
, 2017 PURPOSE: The purpose of this study was to apply statistical metrics to identify outliers and to investigate the impact of outliers on knowledge-based planning in radiation therapy of pelvic cases.
Aggarwal +23 more
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Engineering Proceedings, 2023 Most real time series exhibit certain characteristics that make the choice of model and its specification difficult. The objective of this study is to address the problem of parameter estimation and the accuracy of forecasts k-steps ahead in non ...
Fernanda Catarina Pereira +2 more
doaj +1 more source
Current Biology, 2013 SummaryReports of photographic memory are widespread but the search for truly extraordinary memory abilities has uncovered only a handful of examples. But the fact that such individuals exist has fascinated and begs the question, what is the source of such abilities? Cyrus Martin reports.
openaire +2 more sources
LASSO Regression in Consumer Price Index Malaysia [PDF]
, 2021 This study is aimed to determine the factors contributing to the prediction of the total Consumer Price Index (CPI) in Malaysia through model selection using LASSO regression.
Mohd Padzil, Siti Aisyah +2 more
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Frontiers in Sports and Active Living, 2023 IntroductionThis study aimed to investigate which external load variables were associated with internal load during three small-sided games (SSG) in professional rugby union players.MethodsForty professional rugby union players (22 forwards, 18 backs ...
Marco Zanin +8 more
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New decision rules under strict uncertainty and a general distance-based approach
AIMS Mathematics, 2023 Strict uncertainty implies a complete lack of knowledge about the probabilities of possible future states of the world. However, there is complete information about the set of alternatives under consideration, the set of future states, and the scalar ...
Francisco Salas-Molina +3 more
doaj +1 more source
Robust hierarchical k-center clustering [PDF]
, 2015 One of the most popular and widely used methods for data clustering is hierarchical clustering. This clustering technique has proved useful to reveal interesting structure in the data in several applications ranging from computational biology to computer
Lattanzi, Silvio +3 more
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Dynamic Mixed Data Analysis and Visualization
Entropy, 2022 One of the consequences of the big data revolution is that data are more heterogeneous than ever. A new challenge appears when mixed-type data sets evolve over time and we are interested in the comparison among individuals. In this work, we propose a new
Aurea Grané +2 more
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Shape Outlier Detection and Visualization for Functional Data: the Outliergram [PDF]
, 2013 We propose a new method to visualize and detect shape outliers in samples of curves. In functional data analysis we observe curves defined over a given real interval and shape outliers are those curves that exhibit a different shape from the rest of the ...
Arribas-Gil, Ana, Romo, Juan
core +3 more sources
On the efficacy of procedures to normalise Ex-Gaussian distributions
Frontiers in Psychology, 2015 Reaction time (RT) is one of the most common types of measure used in experimental psychology. Its distribution is not normal (Gaussian) but resembles a convolution of normal and exponential distributions (Ex-Gaussian).
Fernando eMarmolejo-Ramos +3 more
doaj +1 more source