標(biāo)題: Titlebook: Astrostatistics and Data Mining; Luis Manuel Sarro,Laurent Eyer,Joris De Ridder Book 2012 Springer Science+Business Media New York 2012 As [打印本頁(yè)] 作者: 使固定 時(shí)間: 2025-3-21 18:08
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書(shū)目名稱Astrostatistics and Data Mining讀者反饋
書(shū)目名稱Astrostatistics and Data Mining讀者反饋學(xué)科排名
作者: 免除責(zé)任 時(shí)間: 2025-3-21 21:59 作者: linear 時(shí)間: 2025-3-22 04:29
Extracting Knowledge from Massive Astronomical Data Setsew discipline lying at the intersection between astronomy, applied computer science, and information and computation technologies. At the very heart of astroinformatics is a complex set of methodologies usually called data mining (DM) or knowledge discovery in databases (KDD). In the astronomical do作者: 我吃花盤旋 時(shí)間: 2025-3-22 06:40 作者: 僵硬 時(shí)間: 2025-3-22 10:37 作者: overrule 時(shí)間: 2025-3-22 14:03
Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survece–Hawaii Telescope, from semesters 2009A–2012A. The survey will provide coverage of this nearby dense environment in the universe to unprecedented depth, providing profound insights into Galaxy formation and evolution, including definitive measurements of the properties of galaxies in a dense envir作者: anchor 時(shí)間: 2025-3-22 20:09 作者: 煩憂 時(shí)間: 2025-3-23 00:29
Probabilistic Description of Stellar Ensemblesuded in the considered resolution element, whatever its physical (stellar cluster) or artificial (pixel/IFU) nature. It provides a solution of the . of characterizing probabilistically the observables of stellar ensembles as a function of their physical properties. In addition, this characterization作者: Encapsulate 時(shí)間: 2025-3-23 04:24 作者: BILL 時(shí)間: 2025-3-23 07:30 作者: 施加 時(shí)間: 2025-3-23 13:26
Hipparcos Variable Star Detection and Classification Efficiencyby comparing the results with prior knowledge coming from the catalog or from the literature. A combination of two variability criteria is applied in the first step to select 17,006 variability candidates from a complete sample of 115,152 stars. Our candidate sample turns out to include 10,406 known作者: 新手 時(shí)間: 2025-3-23 17:22 作者: 蟄伏 時(shí)間: 2025-3-23 18:15
Efficient Calculation of Covariances for Astrometric Data in the Gaia Catalogueuting quantities that combine multiple catalogue parameters. The computation and storage of the full covariance matrix for the expected 5 ×10. astrometric parameters (～10. TeraByte) is, however, expected to be infeasible considering near-future storage and floating-point capabilities. In this paper 作者: 攤位 時(shí)間: 2025-3-23 23:33
Bayesian Analysis of Cosmic Structures which arise due to the non-Gaussian character of the Galaxy and matter distribution. In particular, we investigate the advantages and limitations of the Poisson-lognormal model and discuss how to extend this work. With the lognormal prior using the Hamiltonian sampling technique and on scales of ab作者: 事情 時(shí)間: 2025-3-24 04:28 作者: Bronchial-Tubes 時(shí)間: 2025-3-24 09:46
Classification of Poorly Time Sampled Light Curves of Periodic Variable Starsfollow-up. In practice, labeled light curves from catalogs with hundreds of flux measurements (the training set) may be used to classify curves from ongoing surveys with tens of flux measurements (the test set). Statistical classifiers generally assume that the probability of class given light curve作者: allergy 時(shí)間: 2025-3-24 12:37
Handling Imbalanced Data Sets in Multistage Classificationclassification problem is divided into several sequential steps, each one associated to a single classifier that works with subgroups of the original classes. In each level, the current set of classes is split into smaller subgroups of classes until they (the subgroups) are composed of only one clas作者: 光亮 時(shí)間: 2025-3-24 14:56 作者: Habituate 時(shí)間: 2025-3-24 21:14 作者: 固執(zhí)點(diǎn)好 時(shí)間: 2025-3-25 00:22
Recent Advances in Cosmological Bayesian Model Comparisonon of the Bayesian evidence, the central quantity for Bayesian model comparison, and present applications to inflationary model building and to constraining the curvature and minimum size of the Universe. I conclude by discussing what I think are some of the open challenges in the field.作者: PHIL 時(shí)間: 2025-3-25 03:44
Data Management at Gaia Data Processing Centersa processing centers (DPCs) in Europe. Managing the data and the associated databases will be a significant challenge. This paper presents the different data management configurations that have been evaluated at the Gaia DPCs in order to cope with the requirements of Gaia’s complex data handling.作者: Malcontent 時(shí)間: 2025-3-25 09:25
https://doi.org/10.1007/978-1-4614-3323-1Astrostatistics; Data Mining; Statistical Astronomy作者: 激勵(lì) 時(shí)間: 2025-3-25 14:42 作者: Affection 時(shí)間: 2025-3-25 17:37
Astrostatistics and Data Mining978-1-4614-3323-1Series ISSN 2199-1030 Series E-ISSN 2199-1049 作者: expeditious 時(shí)間: 2025-3-25 21:35 作者: 膝蓋 時(shí)間: 2025-3-26 00:37
Foundation iPhone App Developmenta processing centers (DPCs) in Europe. Managing the data and the associated databases will be a significant challenge. This paper presents the different data management configurations that have been evaluated at the Gaia DPCs in order to cope with the requirements of Gaia’s complex data handling.作者: BOOM 時(shí)間: 2025-3-26 05:04 作者: 雪上輕舟飛過(guò) 時(shí)間: 2025-3-26 11:29
Importing Birthdays from the Address Bookhereafter, representing a tremendous discovery potential. I will summarize the Gaia mission and the expected catalogue contents and then show how the complexities of the catalogue, and the science we want to extract from it, will force us to be very ambitious in the way we publish the Gaia catalogue作者: 重力 時(shí)間: 2025-3-26 13:06
https://doi.org/10.1007/978-1-4302-4375-5ew discipline lying at the intersection between astronomy, applied computer science, and information and computation technologies. At the very heart of astroinformatics is a complex set of methodologies usually called data mining (DM) or knowledge discovery in databases (KDD). In the astronomical do作者: 拉開(kāi)這車床 時(shí)間: 2025-3-26 18:20
Foundation iPhone App Developmente systemized framework that formed the basis of mediaeval education—the . (logic, grammar and rhetoric) and . (arithmetic, geometry, music and astronomy). However, rather than focusing on number, data are the new keystone. We need to understand what rules they obey, how they are symbolized and commu作者: GUMP 時(shí)間: 2025-3-26 21:11
Data Persistence with Core DataDigital Sky Survey do not fill the entire space but are confined to a manifold with very low dimensionality. More precisely, all the spectra can be described in terms of only two degrees of freedom: one discrete parameter labelling the Galaxy as “normal” or “active,” and one continuous affine parame作者: 即席演說(shuō) 時(shí)間: 2025-3-27 04:08
Provisioning Our App for Developmentce–Hawaii Telescope, from semesters 2009A–2012A. The survey will provide coverage of this nearby dense environment in the universe to unprecedented depth, providing profound insights into Galaxy formation and evolution, including definitive measurements of the properties of galaxies in a dense envir作者: Colonoscopy 時(shí)間: 2025-3-27 08:57
Table Views, Arrays, and Dictionaries—Oh My!y of the calculations. This complexity makes compulsory the use of efficient search procedures such as evolutionary algorithms. Evolutionary algorithms have proved their capability to find suboptimal, high-quality solutions to problems with large search spaces. In this context, a particle swarm algo作者: BARK 時(shí)間: 2025-3-27 13:02 作者: CLOWN 時(shí)間: 2025-3-27 15:06
Foundation iPhone App Developmenthousand objects), all obtained with the same telescope. These observations will allow the determination of some intrinsic parameters of the observed objects along with a number of fundamental quantities of interest for the Solar System and for physics in general to a higher precision than what can b作者: 果核 時(shí)間: 2025-3-27 21:12 作者: 夾死提手勢(shì) 時(shí)間: 2025-3-28 01:30 作者: ABYSS 時(shí)間: 2025-3-28 05:34 作者: 顯示 時(shí)間: 2025-3-28 08:42
Foundation iPhone App Developmentuting quantities that combine multiple catalogue parameters. The computation and storage of the full covariance matrix for the expected 5 ×10. astrometric parameters (～10. TeraByte) is, however, expected to be infeasible considering near-future storage and floating-point capabilities. In this paper 作者: Leisureliness 時(shí)間: 2025-3-28 12:11 作者: 人造 時(shí)間: 2025-3-28 15:18 作者: obviate 時(shí)間: 2025-3-28 21:24
https://doi.org/10.1007/978-1-4302-4375-5follow-up. In practice, labeled light curves from catalogs with hundreds of flux measurements (the training set) may be used to classify curves from ongoing surveys with tens of flux measurements (the test set). Statistical classifiers generally assume that the probability of class given light curve作者: Synovial-Fluid 時(shí)間: 2025-3-29 00:54
Data Persistence with Core Dataclassification problem is divided into several sequential steps, each one associated to a single classifier that works with subgroups of the original classes. In each level, the current set of classes is split into smaller subgroups of classes until they (the subgroups) are composed of only one clas作者: PTCA635 時(shí)間: 2025-3-29 03:45 作者: 影響帶來(lái) 時(shí)間: 2025-3-29 07:47 作者: Heretical 時(shí)間: 2025-3-29 15:08
Foundation iPhone App Developmenta computationally efficient way from a reduced amount of data (～ 2 TeraByte). We also include two examples, explaining how to practically compute the covariance for the average parallax of a star cluster and the acceleration of the solar system barycentre in a cosmological frame.作者: Feigned 時(shí)間: 2025-3-29 18:51
Provisioning Our App for Development model based on discrete synthetic parameter grid; and (c) q-method, a Bayesian method which combines a forward model with parallaxes and the Hertzsprung–Russell diagram (HRD) as a prior. The performance of the three algorithms is investigated for a range of spectral types with arbitrary apparent magnitudes.作者: chronology 時(shí)間: 2025-3-29 20:17
The Art of Data Scienceprocesses that data require. We contend that, at least, an appreciation of all these aspects is crucial to enabling us to extract scientific information and knowledge from the data sets that threaten to engulf and overwhelm us.作者: mettlesome 時(shí)間: 2025-3-30 03:32
Efficient Calculation of Covariances for Astrometric Data in the Gaia Cataloguea computationally efficient way from a reduced amount of data (～ 2 TeraByte). We also include two examples, explaining how to practically compute the covariance for the average parallax of a star cluster and the acceleration of the solar system barycentre in a cosmological frame.作者: 安慰 時(shí)間: 2025-3-30 06:36 作者: 注入 時(shí)間: 2025-3-30 12:14 作者: 可忽略 時(shí)間: 2025-3-30 14:28 作者: 爆炸 時(shí)間: 2025-3-30 20:02 作者: 脫落 時(shí)間: 2025-3-30 22:15
Table Views, Arrays, and Dictionaries—Oh My!l of this work is twofold: first, to provide a theoretical functional form representing the features of the rotational curves of spiral galaxies in order to couple it to other computational models; and second, to demonstrate the applicability of evolutionary algorithms to the matching between astronomical data sets and theoretical models.作者: handle 時(shí)間: 2025-3-31 04:53 作者: Granular 時(shí)間: 2025-3-31 05:35
Views, Controls, Camera, Action!riables to 152 stars (7.5%). The confusion introduced by these 152 nonperiodic variables is evaluated in the third step using the results of the Hipparcos . star classification presented in a previous study [Dubath et al. (Mon Not R Astron Soc May:651, 2011)].作者: dowagers-hump 時(shí)間: 2025-3-31 12:01
Adjustment of Observational Data to Specific Functional Forms Using a Particle Swarm Algorithm and Dl of this work is twofold: first, to provide a theoretical functional form representing the features of the rotational curves of spiral galaxies in order to couple it to other computational models; and second, to demonstrate the applicability of evolutionary algorithms to the matching between astronomical data sets and theoretical models.作者: 同音 時(shí)間: 2025-3-31 14:31
