標(biāo)題: Titlebook: Maximum Entropy and Bayesian Methods; Seattle, 1991 C. Ray Smith,Gary J. Erickson,Paul O. Neudorfer Book 1992 Springer Science+Business Med [打印本頁(yè)] 作者: 多愁善感 時(shí)間: 2025-3-21 17:53
書目名稱Maximum Entropy and Bayesian Methods影響因子(影響力)
書目名稱Maximum Entropy and Bayesian Methods影響因子(影響力)學(xué)科排名
書目名稱Maximum Entropy and Bayesian Methods網(wǎng)絡(luò)公開度
書目名稱Maximum Entropy and Bayesian Methods網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Maximum Entropy and Bayesian Methods被引頻次
書目名稱Maximum Entropy and Bayesian Methods被引頻次學(xué)科排名
書目名稱Maximum Entropy and Bayesian Methods年度引用
書目名稱Maximum Entropy and Bayesian Methods年度引用學(xué)科排名
書目名稱Maximum Entropy and Bayesian Methods讀者反饋
書目名稱Maximum Entropy and Bayesian Methods讀者反饋學(xué)科排名
作者: 有常識(shí) 時(shí)間: 2025-3-21 21:07 作者: 追逐 時(shí)間: 2025-3-22 02:21
https://doi.org/10.1007/978-94-017-2219-3Interpolation; Likelihood; MATLAB; calculus; logic; maximum entropy method; modeling; economic geology作者: 接觸 時(shí)間: 2025-3-22 08:35
Fundamental Theories of Physicshttp://image.papertrans.cn/m/image/627904.jpg作者: SSRIS 時(shí)間: 2025-3-22 11:56 作者: callous 時(shí)間: 2025-3-22 16:42
Dimensional Analysis in Data Modelling, of independent dimensionless factors that should be used as the major variables of the model in place of the original measurements. There are fewer of these than the originals and they may have a more appropriate interpretation. The technique is described briefly and its proposed role in data analysis and regression illustrated with an example.作者: 喪失 時(shí)間: 2025-3-22 19:24
Entropy and Sunspots: Their Bearing on Time-Series,ve of the MaxEnt prior for a positive, additive image. We discuss its . and . in the course of an analysis of the large database of Wolf sunspot numbers. An important ingredient in this analysis is the hypothesis that sunspot number represents a rectified measurement of the underlying solar magnetic cycle.作者: 稱贊 時(shí)間: 2025-3-22 22:01 作者: Mhc-Molecule 時(shí)間: 2025-3-23 03:53 作者: 大量殺死 時(shí)間: 2025-3-23 05:36
placement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory..作者: 預(yù)兆好 時(shí)間: 2025-3-23 11:23
E. T. Jaynesplacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory..作者: 平息 時(shí)間: 2025-3-23 17:30
John Skillingplacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory..作者: 記憶法 時(shí)間: 2025-3-23 21:20
David J. C. MacKayplacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory..作者: reception 時(shí)間: 2025-3-24 01:02 作者: ambivalence 時(shí)間: 2025-3-24 04:21
P. C. Gregory,T. J. Loredoplacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory..作者: 萬(wàn)靈丹 時(shí)間: 2025-3-24 08:19 作者: FRAX-tool 時(shí)間: 2025-3-24 14:44 作者: ferment 時(shí)間: 2025-3-24 16:57
Michael Hardyplacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory..作者: 連鎖,連串 時(shí)間: 2025-3-24 19:54 作者: In-Situ 時(shí)間: 2025-3-25 01:13
John M. Richardson,Kenneth A. Marshrmatics. Cancer imaging is covered with an organ system-based approach, with an additional chapter on the especially intriguing potential of PET.? Furthermore, a comprehensive section on translational basic science reviews the fundamentals of molecular biology, the cell cycle and signal transduction作者: 魅力 時(shí)間: 2025-3-25 04:56 作者: CHART 時(shí)間: 2025-3-25 09:02
Unmixing Mineral Spectra Using a Neural Net with Maximum Entropy Regularization,ral exploration, the number of spectral values measured [the pattern features] is substantially less than the number of possible constituent minerals and the unmixing problem is under determined. These two techniques were used to unmix . 24-channel imaging spectrometer data and a Thematic Mapper [TM作者: 伙伴 時(shí)間: 2025-3-25 12:11 作者: investigate 時(shí)間: 2025-3-25 16:07 作者: 安撫 時(shí)間: 2025-3-25 21:08
Book 1992e usefully treated by these methods, and manyareas of theoretical research are being enhanced by the thoughtfulapplication of Bayes‘ theorem. The contributions contained in thisvolume present a state-of-the-art review that will be influential anduseful for many years to come. .作者: pacific 時(shí)間: 2025-3-26 02:01
0168-1222 . The contributions contained in thisvolume present a state-of-the-art review that will be influential anduseful for many years to come. .978-90-481-4220-0978-94-017-2219-3Series ISSN 0168-1222 Series E-ISSN 2365-6425 作者: cardiac-arrest 時(shí)間: 2025-3-26 08:14 作者: 健談 時(shí)間: 2025-3-26 08:32
0168-1222 he revolution in computational methods afforded by moderncomputers, allow astronomers, electrical engineers, image processorsof any type, NMR chemists and physicists, and anyone at all who has todeal with incomplete and noisy data, to take advantage of methodsthat, in the past, have been applied onl作者: SMART 時(shí)間: 2025-3-26 16:13
Linking the Plausible and Demonstrative Inferences,and demonstrative patterns is shown. The plausible and demonstrative elementary patterns are expressed by logic equations which are exactly complementary. This complementarity condition determines the linking form between all the plausible and demonstrative patterns derived from the elementary patterns.作者: Camouflage 時(shí)間: 2025-3-26 18:19
Maximum Likelihood Estimation of the Lagrange Parameters of the Maximum Entropy Distributions,the ML method for this problem. Finally, we show the interest of these developpements in determining the prior law of an image in a Bayesian approach to solving the inverse problems of image restoration and reconstruction.作者: 可卡 時(shí)間: 2025-3-27 00:18
The Evidence for Neural Networks,ly embodies ‘Occam’s razor,’ penalising over-flexible and over-complex models. The Bayesian approach helps detect poor underlying assumptions in learning models. For learning models well matched to a problem, a good correlation between generalisation ability and the Bayesian evidence is obtained.作者: START 時(shí)間: 2025-3-27 02:56 作者: 頭盔 時(shí)間: 2025-3-27 08:52
A Matlab Program to Calculate the Maximum Entropy Distributions,, .. In this case the .. are the geometrical moments of .. The third considers the special case where ..(.) = exp(?.), . 0,..., .. In this case the .. are the trigonometrical moments (Fourier components) of .(.). We give also some examples to illustrate the usefullness of these programs.作者: Crohns-disease 時(shí)間: 2025-3-27 12:23
The Gibbs Paradox,ibbs’ style of writing and his failure to include this explanation in his later .. This “new” understanding is not only of historical and pedagogical interest; it gives both classical and quantum statistical mechanics a different status than that presented in our textbooks, with implications for current research.作者: CORE 時(shí)間: 2025-3-27 15:45 作者: 姑姑在炫耀 時(shí)間: 2025-3-27 21:17
Entropies of Likelihood Functions,s of the entropy and cross-entropy functions as groups. The relationship between the group structure and the entropy and cross-entropy functions is used to derive the result on entropies of likelihood functions.作者: Lipoprotein(A) 時(shí)間: 2025-3-27 23:51
Entropy of Form and Hierarchic Organization,tude. The iterative construction of fractals suggests a mathematical model of the hierarchic processes of growth and differentiation whose final stationary states are defined by the MaxEnt Principle. This can be interpreted in a more general context concerning the concept of Adaptation.作者: exigent 時(shí)間: 2025-3-28 04:36 作者: SLAY 時(shí)間: 2025-3-28 08:44 作者: 羽毛長(zhǎng)成 時(shí)間: 2025-3-28 11:47
E. T. Jaynes the first edition, and expands coverage of stochastic optim.Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from t作者: 胰臟 時(shí)間: 2025-3-28 17:57 作者: 殘忍 時(shí)間: 2025-3-28 22:46 作者: FRAX-tool 時(shí)間: 2025-3-29 01:35
G. Larry Bretthorst the first edition, and expands coverage of stochastic optim.Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from t作者: Medicaid 時(shí)間: 2025-3-29 06:27 作者: LITHE 時(shí)間: 2025-3-29 08:33
Vicente Solana the first edition, and expands coverage of stochastic optim.Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from t作者: 阻撓 時(shí)間: 2025-3-29 14:18
G. A. Vignaux the first edition, and expands coverage of stochastic optim.Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from t作者: hair-bulb 時(shí)間: 2025-3-29 16:19 作者: 燈泡 時(shí)間: 2025-3-29 20:04 作者: 輕彈 時(shí)間: 2025-3-30 00:46 作者: 充滿人 時(shí)間: 2025-3-30 06:04
The Gibbs Paradox,ments of mystery and directly connected to experimental facts. However, it appears that this has been lost for 100 years, due to some obscurities in Gibbs’ style of writing and his failure to include this explanation in his later .. This “new” understanding is not only of historical and pedagogical 作者: 生命層 時(shí)間: 2025-3-30 11:38 作者: Notorious 時(shí)間: 2025-3-30 14:16
Bayesian Interpolation,ian approach to regularisation and model-comparison is demonstrated by studying the inference problem of interpolating noisy data. The concepts and methods described are quite general and can be applied to many other data modelling problems. Regularising constants are set by examining their posterio作者: 駕駛 時(shí)間: 2025-3-30 20:12 作者: Ascribe 時(shí)間: 2025-3-31 00:05
A Bayesian Method for the Detection of a Periodic Signal of Unknown Shape and Period,a signal or of its characteristics. It is applicable to data consisting of the locations or times of individual events. To address the detection problem, we use Bayes’ theorem to compare a constant rate model for the signal to models with periodic structure. The periodic models describe the signal p作者: Strength 時(shí)間: 2025-3-31 03:53
Linking the Plausible and Demonstrative Inferences, been related to demonstrative patterns of classic logic. The connection between all the plausible inference patterns and the demonstrative patterns is examined in a sentential plausible logic language. . commonsense approach is presented as a formalized system from only two elementary monotonicity 作者: adipose-tissue 時(shí)間: 2025-3-31 05:21 作者: NAV 時(shí)間: 2025-3-31 09:21 作者: Exuberance 時(shí)間: 2025-3-31 15:07
Maximum Likelihood Estimation of the Lagrange Parameters of the Maximum Entropy Distributions,} of known functions ..(.), 0,..., .. The solution depends on . + 1 Lagrange multipliers which are determined by solving the set of nonlinear equations formed by the N data constraints and the normalization constraint. The problem we address here is different. It consists of estimating these Lagrang作者: exclamation 時(shí)間: 2025-3-31 19:03 作者: embolus 時(shí)間: 2025-4-1 01:15 作者: Insubordinate 時(shí)間: 2025-4-1 04:12
Unmixing Mineral Spectra Using a Neural Net with Maximum Entropy Regularization,ions of a set of reference spectra. To do this, we train a neural net, the distributed associative memory [DAM], to remember the reference spectra. If the reference spectra are linearly independent, and in particular, if the number of features characterizing the spectra is greater than the number of作者: 不要嚴(yán)酷 時(shí)間: 2025-4-1 08:15
Bayesian Mixture Modeling,bits the true Bayesian predictive distribution, implicitly integrating over the entire underlying parameter space. An infinite number of mixture components can be accommodated without difficulty, using a prior distribution for mixing proportions that selects a reasonable subset of components to expl作者: arterioles 時(shí)間: 2025-4-1 12:14 作者: Deduct 時(shí)間: 2025-4-1 16:19
