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73 results found.

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ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
Article
Article
Zhaohua Wu; Norden E. Huang · Advances in Adaptive Data Analysis · 2008
A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. Finite, not infinitesima...
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Extended <sup>14</sup>C Data Base and Revised CALIB 3.0 <sup>14</sup>C Age Calibration Program
Article
Article
Minze Stuiver; Paula Reimer · Radiocarbon · 1993
The age calibration program, CALIB (Stuiver &amp; Reimer 1986), first made available in 1986 and subsequently modified in 1987 (revision 2.0 and 2.1), has been amended anew. The 1993 program (revision 3.0) incorporates f...
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Fuzzy Set Theory—and Its Applications
Book
Book
H.-J. Zimmermann · OpenAlex · 2001
Subjects / keywords: Computer science; Fuzzy logic; Fuzzy set; Set (abstract data type); Operations research; Artificial intelligence; Mathematics; Programming language
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GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update
Article
Article
Rod Peakall; Peter E. Smouse · Bioinformatics · 2012
SUMMARY: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and...
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Learning from Imbalanced Data
Article
Article
Haibo He; Edwardo A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 2009
With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding ...
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MrBayes 3: Bayesian phylogenetic inference under mixed models
Article
Article
Fredrik Ronquist; John P. Huelsenbeck · Bioinformatics · 2003
Abstract Summary: MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models. This allows the user to analyze...
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Multiple regression: testing and interpreting interactions
Article
Article
Choice Reviews Online · 1992
Introduction Interactions between Continuous Predictors in Multiple Regression The Effects of Predictor Scaling on Coefficients of Regression Equations Testing and Probing Three-Way Interactions Structuring Regression Eq...
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New tools for automated high-resolution cryo-EM structure determination in RELION-3
Article
Article
Jasenko Zivanov; Takanori Nakane; Björn Forsberg; Dari Kimanius; Wim J. H. Hagen; Erik Lindahl; Sjors H. W. Scheres · eLife · 2018
Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free a...
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On Computable Numbers, with an Application to the Entscheidungsproblem
Article
Article
Alan Turing · Proceedings of the London Mathematical Society · 1937
Subjects / keywords: Turing; Computer science; Citation; Turing machine; Mathematics; Information retrieval; Library science; Algorithm; Programming language; Computation
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PLS path modeling
Article
Article
Michel Tenenhaus; Vincenzo Esposito Vinzi; Yves-Marie Chatelin; Carlo di Lauro · Computational Statistics & Data Analysis · 2004
Subjects / keywords: Statistics; Mathematics; Path (computing); Computer science; Econometrics; Programming language
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Quantum Mechanics and Path Integrals
Article
Article
Miguel Blasco, Lluís de · Students Quarterly Journal · 1966
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Josep Taron Roca
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Regression Modeling Strategies
Book
Book
Frank E. Harrell · Springer series in statistics · 2015
Subjects / keywords: Computer science; Regression; Regression analysis; Regression testing; Software; Statistics; Programming language; Mathematics; Machine learning; Software development; Software construction
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Regression Shrinkage and Selection Via the Lasso
Article
Article
Robert Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1996
SUMMARY We propose a new method for estimation in linear models. The ‘lasso’ minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant. Because of t...
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Stacked generalization
Article
Article
David H. Wolpert · Neural Networks · 1992
Subjects / keywords: Generalization; Computer science; Set (abstract data type); Algorithm; Generalization error; Artificial intelligence; Task (project management); Space (punctuation); Mathematics; Artificial neural network; Programming la...
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The Adaptive Lasso and Its Oracle Properties
Article
Article
Hui Zou · Journal of the American Statistical Association · 2006
The lasso is a popular technique for simultaneous estimation and variable selection. Lasso variable selection has been shown to be consistent under certain conditions. In this work we derive a necessary condition for the...
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The wavelet transform, time-frequency localization and signal analysis
Article
Article
Ingrid Daubechies · IEEE Transactions on Information Theory · 1990
Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied. The first procedure is the short-time or windowed Fourier transform; the second is the wavelet transform...
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The<b>ade4</b>Package: Implementing the Duality Diagram for Ecologists
Article
Article
Stéphane Dray; Anne‐Béatrice Dufour · Journal of Statistical Software · 2007
Multivariate analyses are well known and widely used to identify and understand structures of ecological communities. The ade4 package for the R statistical environment proposes a great number of multivariate methods. It...
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Trimmomatic: a flexible trimmer for Illumina sequence data
Article
Article
Anthony Bolger; Marc Lohse; Björn Usadel · Bioinformatics · 2014
MOTIVATION: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling ...
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Material complementario
UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations
Article
Article
Anthony K. Rappé; C. J. Casewit; K. S. Colwell; William A. Goddard; W. M. Skiff · Journal of the American Chemical Society · 1992
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTUFF, a full periodic table force field for molecular mechanics and molecular dynamics simulationsA. K. Rappe, C. J. Casewit, K. S. Colwell, W. A. Goddard III, and W. M. SkiffCi...
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Using Effect Size—or Why the P Value Is Not Enough
Article
Article
Gail M. Sullivan; Richard Feinn · Journal of Graduate Medical Education · 2012
These statements about the importance of effect sizes were made by two of the most influential statistician-researchers of the past half-century. Yet many submissions to Journal of Graduate Medical Education omit mention...
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Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
Article
Article
J.F. Sturm · Optimization methods & software · 1999
SeDuMi is an add-on for MATLAB, that lets you solve optimization problems with linear, quadratic and semidefiniteness constraints. It is possible to have complex valued data and variables in SeDuMi. Moreover, large scale...
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YALMIP : a toolbox for modeling and optimization in MATLAB
Article
Article
Johan Löfberg · OpenAlex · 2005
The MATLAB toolbox YALMIP is introduced. It is described how YALMIP can be used to model and solve optimization problems typically occurring in systems and control theory. In this paper, free MATLAB toolbox YALMIP, devel...
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performance: An R Package for Assessment, Comparison and Testing of Statistical Models
Article
Article
Daniel Lüdecke; Mattan S. Ben‐Shachar; Indrajeet Patil; Philip Waggoner; Dominique Makowski · The Journal of Open Source Software · 2021
A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting th...
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