Results 31 to 40 of about 7,094,606 (275)

Impact of Groundtrack Pattern of a Single Pair Mission on the Gravity Recovery Quality

open access: yesGeosciences, 2018
For future gravity satellite missions, aliasing of high frequency geophysical signals into the lower frequencies is one of the most challenging obstacles to recovering true gravity signals, i.e., to recover the truth.
Siavash Iran-Pour   +3 more
doaj   +1 more source

The balancing trick: Optimized sampling of imbalanced datasets—A brief survey of the recent State of the Art

open access: yesEngineering Reports, 2021
This survey paper focuses on one of the current primary issues challenging data mining researchers experimenting on real‐world datasets. The problem is that of imbalanced class distribution that generates a bias toward the majority class due to ...
Dr. Seba Susan, Amitesh Kumar
doaj   +1 more source

Sampling Correctors

open access: yes, 2018
In many situations, sample data is obtained from a noisy or imperfect source. In order to address such corruptions, this paper introduces the concept of a sampling corrector.
Canonne, Clément   +2 more
core   +1 more source

The Impact of Sampling Medium and Environment on Particle Morphology

open access: yesAtmosphere, 2017
Sampling on different substrates is commonly used in laboratory and field studies to investigate the morphology and mixing state of aerosol particles. Our focus was on the transformations that can occur to the collected particles during storage, handling,
Chao Chen   +4 more
doaj   +1 more source

Sampling Techniques

open access: yes, 2021
This chapter assesses sampling techniques. Researchers may restrict their data collection to a sample of a population for convenience or necessity if they lack the time and resources to collect data for the entire population. Therefore, a sample is any subset of units collected from a population.
openaire   +2 more sources

Iterative Row Sampling

open access: yes, 2013
There has been significant interest and progress recently in algorithms that solve regression problems involving tall and thin matrices in input sparsity time.
Li, Mu, Miller, Gary L., Peng, Richard
core   +2 more sources

Particle Efficient Importance Sampling [PDF]

open access: yes, 2013
The efficient importance sampling (EIS) method is a general principle for the numerical evaluation of high-dimensional integrals that uses the sequential structure of target integrands to build variance minimising importance samplers. Despite a number of
Kohn, Robert, Scharth, Marcel
core   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski   +59 more
wiley   +1 more source

Fusão de imagens por IHS para melhorar a identificação de uso do solo em elementos amostrais Image fusion through IHS to improve identification of land use in sample elements

open access: yesEngenharia Agrícola, 2007
Fotografias aéreas métricas atuais sobre áreas específicas nem sempre estão disponíveis. Esse é um dos principais problemas no Brasil para aplicação de técnicas de amostragem de área para a estimativa de safras.
Marcos Adami   +6 more
doaj   +1 more source

Quantum-Like Sampling

open access: yesMathematics, 2021
Probability theory is built around Kolmogorov’s axioms. To each event, a numerical degree of belief between 0 and 1 is assigned, which provides a way of summarizing the uncertainty.
Andreas Wichert
doaj   +1 more source

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