派博傳思國際中心

標(biāo)題: Titlebook: Bandit problems; Sequential Allocatio Donald A. Berry,Bert Fristedt Book 1985 D. A. Berry and B. Fristedt 1985 Calculation.Counting.Mathema [打印本頁]

作者: 解毒藥    時間: 2025-3-21 16:04
書目名稱Bandit problems影響因子(影響力)




書目名稱Bandit problems影響因子(影響力)學(xué)科排名




書目名稱Bandit problems網(wǎng)絡(luò)公開度




書目名稱Bandit problems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bandit problems被引頻次




書目名稱Bandit problems被引頻次學(xué)科排名




書目名稱Bandit problems年度引用




書目名稱Bandit problems年度引用學(xué)科排名




書目名稱Bandit problems讀者反饋




書目名稱Bandit problems讀者反饋學(xué)科排名





作者: Aura231    時間: 2025-3-21 21:27

作者: Adulterate    時間: 2025-3-22 03:57

作者: 表臉    時間: 2025-3-22 08:19

作者: 捕鯨魚叉    時間: 2025-3-22 09:01
Two independent Bernoulli arms; uniform discounting,nce . has horizon n and is uniform: . . = ... = . . = 1 and . . = . . = ... = 0. Such uniform discounting has been considered extensively through examples in the first five chapters of this book, and in the literature generally. The objective implicit in uniform discounting is to maximize the expect
作者: Nebulizer    時間: 2025-3-22 13:03

作者: Congruous    時間: 2025-3-22 17:24
Minimax Approach,cide how to handle this uncertainty. In the first eight chapters of this monograph the approach used is to average the payoff over the unknown characteristics with respect to a specified prior distribution — a Bayesian approach, in statistical parlance.
作者: 不適當(dāng)    時間: 2025-3-22 23:20
Book 1985s in Chapter 2. Many of the important results that have appeared in the literature are presented in later chapters; these are interspersed with new results. We give proofs unless they are very easy or the result is not used in the sequel. We have simplified a number of arguments so many of the proof
作者: nullify    時間: 2025-3-23 01:37

作者: IRK    時間: 2025-3-23 08:28

作者: PALSY    時間: 2025-3-23 09:48

作者: 象形文字    時間: 2025-3-23 15:52

作者: 魔鬼在游行    時間: 2025-3-23 18:20

作者: Adjourn    時間: 2025-3-24 00:21

作者: 祝賀    時間: 2025-3-24 05:24

作者: Ceramic    時間: 2025-3-24 07:06
Springers Handbücher der Rechtswissenschafts has been our convention in the Bernoulli case, we regard .. as a distribution on the Bernoulli parameter .. ∈ [0, 1] rather than on .. ∈ D; and consistent with an earlier modification of notation, we write the conditional distribution of (.., ..,...,..) given success on arm 1, say, as. and given a
作者: 值得贊賞    時間: 2025-3-24 13:31
https://doi.org/10.1007/978-3-7091-8265-9died in .., now abbreviated to ., the distribution of the random measure ... For arbitrary . we can, without loss, assume that arm 2 always produces the known observation . Since . is given by the pair (.), we now speak of the (., .; .)-bandit.
作者: Foment    時間: 2025-3-24 17:08
https://doi.org/10.1007/978-3-7091-8265-9en the problem is to maximize the sum of . observations. When . is unknown the corresponding random discount sequence can be taken to be nonrandom (see Section 3.1); it can be any nonincreasing sequence depending on the uncertainty in .. As a special case suppose . has a geometric distribution; so t
作者: 滔滔不絕地說    時間: 2025-3-24 21:13
Handbuch diagnostische Radiologience . has horizon n and is uniform: . . = ... = . . = 1 and . . = . . = ... = 0. Such uniform discounting has been considered extensively through examples in the first five chapters of this book, and in the literature generally. The objective implicit in uniform discounting is to maximize the expect
作者: 入伍儀式    時間: 2025-3-24 23:23

作者: Bravura    時間: 2025-3-25 06:52

作者: 舊式步槍    時間: 2025-3-25 10:44

作者: nephritis    時間: 2025-3-25 12:48

作者: Mri485    時間: 2025-3-25 16:02

作者: 芭蕾舞女演員    時間: 2025-3-25 21:50
The discount sequence,The particular discount sequence plays a critical role in any bandit or other decision problem. Various interpretations of discount sequences are discussed in this chapter. One purpose of the discussion is to aid a user in choosing an appropriate sequence; another is to motivate interest in the generality of discounting allowed in this monograph.
作者: Minatory    時間: 2025-3-26 04:04
Introduction,Information as to the effectiveness of the treatments accrues as they are used. The overall objective is to treat as many patients as effectively as possible. This seemingly innocent but important problem is surprisingly difficult, even when the responses are dichotomous, either success or failure. It is an example of a two-armed bandit problem.
作者: 樹木中    時間: 2025-3-26 08:10

作者: 啤酒    時間: 2025-3-26 12:32
Two arms, one arm known,died in .., now abbreviated to ., the distribution of the random measure ... For arbitrary . we can, without loss, assume that arm 2 always produces the known observation . Since . is given by the pair (.), we now speak of the (., .; .)-bandit.
作者: capsule    時間: 2025-3-26 15:13
Two independent Bernoulli arms; uniform discounting,nce . has horizon n and is uniform: . . = ... = . . = 1 and . . = . . = ... = 0. Such uniform discounting has been considered extensively through examples in the first five chapters of this book, and in the literature generally. The objective implicit in uniform discounting is to maximize the expected sum of the first . observations.
作者: Projection    時間: 2025-3-26 17:42

作者: 臆斷    時間: 2025-3-26 22:35

作者: MELD    時間: 2025-3-27 04:11

作者: 綁架    時間: 2025-3-27 08:53

作者: 釋放    時間: 2025-3-27 12:50
Springers Handbücher der Rechtswissenschafts has been our convention in the Bernoulli case, we regard .. as a distribution on the Bernoulli parameter .. ∈ [0, 1] rather than on .. ∈ D; and consistent with an earlier modification of notation, we write the conditional distribution of (.., ..,...,..) given success on arm 1, say, as. and given a failure on arm 1 and as
作者: condone    時間: 2025-3-27 13:50

作者: FOIL    時間: 2025-3-27 19:20

作者: Mortar    時間: 2025-3-27 23:17
https://doi.org/10.1007/b137523cide how to handle this uncertainty. In the first eight chapters of this monograph the approach used is to average the payoff over the unknown characteristics with respect to a specified prior distribution — a Bayesian approach, in statistical parlance.
作者: antecedence    時間: 2025-3-28 05:01
Book 1985the mathema- tically uninitiated reader can easily sidestep such discussion when it occurs in Chapter 2 and elsewhere. We have tried to appeal to graduate students and professionals in engineering, biometry, econ- omics, management science, and operations research, as well as those in mathematics an
作者: Conflict    時間: 2025-3-28 08:05

作者: installment    時間: 2025-3-28 11:14





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