標(biāo)題: Titlebook: Neural Networks for Conditional Probability Estimation; Forecasting Beyond P Dirk Husmeier Book 1999 Springer-Verlag London Limited 1999 al [打印本頁] 作者: 有靈感 時(shí)間: 2025-3-21 19:40
書目名稱Neural Networks for Conditional Probability Estimation影響因子(影響力)
書目名稱Neural Networks for Conditional Probability Estimation影響因子(影響力)學(xué)科排名
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書目名稱Neural Networks for Conditional Probability Estimation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Networks for Conditional Probability Estimation被引頻次
書目名稱Neural Networks for Conditional Probability Estimation被引頻次學(xué)科排名
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書目名稱Neural Networks for Conditional Probability Estimation讀者反饋
書目名稱Neural Networks for Conditional Probability Estimation讀者反饋學(xué)科排名
作者: consent 時(shí)間: 2025-3-21 22:12 作者: 細(xì)菌等 時(shí)間: 2025-3-22 04:05 作者: 新娘 時(shí)間: 2025-3-22 06:00
Dirk Husmeier PhDt this can actually only be the case at .?=?., at any finite temperature the ions will be deflected from their equilibrium positions and at a given time . there will be no periodic potential anymore. The consequences of this are to be examined in this chapter.作者: commensurate 時(shí)間: 2025-3-22 09:12 作者: FANG 時(shí)間: 2025-3-22 14:06
Dirk Husmeier PhDon in one dimension; Monte Carlo methods are also introduced and results are presented. Finally, band magnetism is discussed and the Stoner theory of band magnetism is derived from the Hubbard model in a mean field approximation. The giant magnetoresistance (GMR) effect is explained as a current app作者: phytochemicals 時(shí)間: 2025-3-22 18:22
Dirk Husmeier PhDic field to matter in a perturbative way, Rabi oscillations and the optical Stark effect are treated. The semiconductor Bloch equations for the occupation probabilities and the polarization taking into account the Coulomb interaction between the electrons (or between the electrons in the conduction 作者: ALB 時(shí)間: 2025-3-22 22:01
Dirk Husmeier PhD spin-orbit coupling on surface states is treated. In this context the class of the recently detected topological insulators, materials of significant importance for spin electronics, are discussed. Particular emphasis, hereby, is laid on the new type of topologically protected surface states with w作者: 吹牛大王 時(shí)間: 2025-3-23 05:27
Dirk Husmeier PhDelopment of a detailed understanding of the surface electronic structure. On the theoretical side, the general approach is similar to that for the bulk crystal: In essence the one-electron approximation is used and one tries to solve the Schr?dinger equation for an electron near the surface. A varie作者: obligation 時(shí)間: 2025-3-23 09:18
Dirk Husmeier PhDms per cm. must be studied against the background of about 10. atoms present in a bulk volume of one cm.. In surface and interface physics the appropriate geometry for a scattering experiment is thus the reflection geometry. Furthermore, only particles that do not penetrate too deeply into the solid作者: 情感脆弱 時(shí)間: 2025-3-23 11:21
Dirk Husmeier PhDelopment of a detailed understanding of the surface electronic structure. On the theoretical side, the general approach is similar to that for the bulk crystal: In essence the one-electron approximation is used and one tries to solve the Schr?dinger equation for an electron near the surface. A varie作者: medieval 時(shí)間: 2025-3-23 16:31 作者: 成績(jī)上升 時(shí)間: 2025-3-23 20:53
Neural Networks for Conditional Probability EstimationForecasting Beyond P作者: 無法治愈 時(shí)間: 2025-3-24 01:59 作者: 高度表 時(shí)間: 2025-3-24 04:26 作者: archenemy 時(shí)間: 2025-3-24 07:24
Dirk Husmeier PhD.e. the dynamics of the electrons, and the lattice degrees of freedom, i.e. the dynamics of the ions, can be considered as decoupled to a good approximation. Accordingly, in Chap.?4 we only considered the lattice vibrations (phonons) and in Chap.?5 and?6 only the electrons. But we already know from 作者: Arboreal 時(shí)間: 2025-3-24 12:56
Dirk Husmeier PhD number representation and the description of the many-particle states and operators in terms of fermion creation and annihilation operators is explained in detail. The representation of the Hamilton operator of interacting electrons in occupation number representation (“second quantization”) is der作者: Finasteride 時(shí)間: 2025-3-24 16:30
Dirk Husmeier PhDmoments can interact with each other. Specifically, the direct exchange interaction is discussed and the indirect, RKKY-interaction mediated by conduction electrons. The Heisenberg model for mutually interacting magnetic moments is treated in detail in the mean field approximation. Magnons, as the s作者: eustachian-tube 時(shí)間: 2025-3-24 19:56 作者: CLOUT 時(shí)間: 2025-3-25 02:24 作者: Incise 時(shí)間: 2025-3-25 05:10 作者: 手銬 時(shí)間: 2025-3-25 10:00 作者: 拘留 時(shí)間: 2025-3-25 12:47 作者: 增長(zhǎng) 時(shí)間: 2025-3-25 17:37 作者: 寄生蟲 時(shí)間: 2025-3-25 23:56 作者: 制定法律 時(shí)間: 2025-3-26 03:54 作者: 侵蝕 時(shí)間: 2025-3-26 05:05 作者: 圍巾 時(shí)間: 2025-3-26 09:20
A Universal Approximator Network for Predicting Conditional Probability Densities,itecture can deal with both stochastic and determinstic processes. Two variants, the derivative-of-sigmoid mixture (DSM) and the Gaussian mixture (GM) networks are presented, and their relation to a stochastic kernel expansion is noted. The chapter concludes with a comparison between these models an作者: colony 時(shí)間: 2025-3-26 13:13 作者: Sleep-Paralysis 時(shí)間: 2025-3-26 20:42 作者: 凹槽 時(shí)間: 2025-3-27 00:50
Demonstration of the Model Performance on the Benchmark Problems,ce plot of the network predictions allows the attainment of a deeper understanding of the training process. For the double-well problem, the prediction performance of the DSM network is compared with different alternative approaches, and is found to achieve results comparable to those of the best al作者: MEET 時(shí)間: 2025-3-27 02:13 作者: 天氣 時(shí)間: 2025-3-27 06:09 作者: 爭(zhēng)吵 時(shí)間: 2025-3-27 11:29 作者: 蓋他為秘密 時(shí)間: 2025-3-27 17:28
A simple Bayesian regularisation scheme, mode of their posterior distribution. Conjugate priors for the various network parameters are introduced, which give rise to regularisation terms that can be viewed as a generalisation of simple weight decay. It is shown how the posterior mode can be found with a slightly modified version of the EM作者: freight 時(shí)間: 2025-3-27 19:11 作者: 厚顏 時(shí)間: 2025-3-28 00:41 作者: 我不明白 時(shí)間: 2025-3-28 02:33 作者: Entirety 時(shí)間: 2025-3-28 10:07
Network Committees and Weighting Schemes,cation or by simple averaging in regression, but one can also use a weighted combination of the networks. The first section of this chapter summarises the main ideas of a recent study by Krogh and Vedelsby on network committees for simple interpolation tasks. The generalisation performance of the co作者: 搬運(yùn)工 時(shí)間: 2025-3-28 11:17
Demonstration: Committees of Networks Trained with Different Regularisation Schemes,on performance on the regularisation method and the weighting scheme is studied. For a single-model predictor, application of the Bayesian evidence scheme is found to lead to superior results. However, when using network committees, under-regularisation can be advantageous, since it leads to a large作者: 縮減了 時(shí)間: 2025-3-28 18:28
Automatic Relevance Determination (ARD),o a weight group, and the distribution widths of the weight groups are adjusted during training by a method similar to Manhattan updating. A practical algorithm is derived, and an empirical demonstration shows that irrelevant inputs are detected and effectively switched off. The whole scheme was ins作者: 冷漠 時(shí)間: 2025-3-28 19:40 作者: 運(yùn)動(dòng)的我 時(shí)間: 2025-3-29 01:29
Summary,to predict a single future value as a function of a so-called lag vector of m past observations or measurements. The crucial requirement for the successful application of such a scheme is that the probability distribution of the targets conditional on the inputs is unimodal and symmetric. However, e作者: 親愛 時(shí)間: 2025-3-29 05:17
Appendix: Derivation of the Hessian for the Bayesian Evidence Scheme,he derivation is based on an extended version of the EM algorithm, which allows the full Hessian to be decomposed into three additive components. The derivation of the first term, the Hessian of the EM error function U, is straightforward. The second term, the outer product of the gradient of the EM作者: eustachian-tube 時(shí)間: 2025-3-29 07:49
Random Vector Functional Link (RVFL) Networks,of the function to be approximated and subsequent evaluation of the integral by the Monte-Carlo approach. This is compared with the universal approximation capability of a standard MLP. The chapter terminates with a simple experimental illustration of the concept on a toy problem.作者: Mnemonics 時(shí)間: 2025-3-29 13:11 作者: Platelet 時(shí)間: 2025-3-29 17:06
The Bayesian Evidence Scheme for Model Selection,edastic noise on the target. The nature of the various Ockham factors included in the evidence is discussed. The chapter concludes with a critical evaluation of the numerical inaccuracies inherent in this scheme.作者: 碎片 時(shí)間: 2025-3-29 20:18 作者: 剝皮 時(shí)間: 2025-3-30 02:14 作者: sleep-spindles 時(shí)間: 2025-3-30 08:02
1431-6854 cal findings on the generalisation performance of committeesConventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is to predict the future value of some entity of interest on the basis of a time se作者: 談判 時(shí)間: 2025-3-30 08:24
Book 1999ective is to predict the future value of some entity of interest on the basis of a time series of past measurements or observations. Typical training schemes aim to minimise the sum of squared deviations between predicted and actual values (the ‘targets‘), by which, ideally, the network learns the c作者: 燒瓶 時(shí)間: 2025-3-30 15:12
A Universal Approximator Network for Predicting Conditional Probability Densities, networks are presented, and their relation to a stochastic kernel expansion is noted. The chapter concludes with a comparison between these models and several relevant alternative approaches which have recently been introduced to the neural network community.作者: ALB 時(shí)間: 2025-3-30 16:49
A Maximum Likelihood Training Scheme,s shown to suffer from considerable inherent convergence problems due to large curvature variations of the error surface. A simple rectification scheme based on a curvature-based shape modification of E is presented.作者: 我要沮喪 時(shí)間: 2025-3-30 23:28
Demonstration: Committees of Networks Trained with Different Regularisation Schemes,heme is found to lead to superior results. However, when using network committees, under-regularisation can be advantageous, since it leads to a larger model diversity, as a result of which a more substantial decrease of the generalisation ‘error’ can be achieved.作者: 憤慨點(diǎn)吧 時(shí)間: 2025-3-31 04:55 作者: debris 時(shí)間: 2025-3-31 07:04
Introduction, weather, or the economy, it is not possible to solve the equations of dynamics explicitly and to keep track of motion in the high dimensional state space. In these cases model-based forecasting becomes impossible and calls for a different prediction paradigm.作者: EXTOL 時(shí)間: 2025-3-31 12:49
Benchmark Problems,l potential subject to Brownian dynamics. The resulting time series shows fast oscillation around one of two metastable states and occasional phase transitions between these two states. As a consequence of the latter, long-term predictions require a model that can capture bimodality.作者: inventory 時(shí)間: 2025-3-31 15:07 作者: Anthrp 時(shí)間: 2025-3-31 20:19 作者: Etching 時(shí)間: 2025-4-1 01:38
Summary,sons discussed in Chapter 1, the distribution is likely to be distorted and may be multimodal. This suggests that, in general, it is not sufficient to train a network to predict only a single value, but that the complete probability distribution of the target conditional on the input vector should be modelled.作者: Eclampsia 時(shí)間: 2025-4-1 04:06
978-1-85233-095-8Springer-Verlag London Limited 1999
