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標題: Titlebook: Algorithmic Learning for Knowledge-Based Systems; GOSLER Final Report Klaus P. Jantke,Steffen Lange Book 1995 Springer-Verlag Berlin Heidel [打印本頁]

作者: Nutraceutical    時間: 2025-3-21 16:53
書目名稱Algorithmic Learning for Knowledge-Based Systems影響因子(影響力)




書目名稱Algorithmic Learning for Knowledge-Based Systems影響因子(影響力)學科排名




書目名稱Algorithmic Learning for Knowledge-Based Systems網絡公開度




書目名稱Algorithmic Learning for Knowledge-Based Systems網絡公開度學科排名




書目名稱Algorithmic Learning for Knowledge-Based Systems被引頻次




書目名稱Algorithmic Learning for Knowledge-Based Systems被引頻次學科排名




書目名稱Algorithmic Learning for Knowledge-Based Systems年度引用




書目名稱Algorithmic Learning for Knowledge-Based Systems年度引用學科排名




書目名稱Algorithmic Learning for Knowledge-Based Systems讀者反饋




書目名稱Algorithmic Learning for Knowledge-Based Systems讀者反饋學科排名





作者: 一小塊    時間: 2025-3-21 21:51
Classification using information,e learner can access. To increase the models ability to access information, we will give it the ability to ask more powerful questions. To decrease the models ability to access information, we will bound the number of mindchanges it may make.
作者: defray    時間: 2025-3-22 03:38

作者: 極大痛苦    時間: 2025-3-22 07:00

作者: Horizon    時間: 2025-3-22 12:11
Probabilistic versus deterministic memory limited learning,
作者: 無節(jié)奏    時間: 2025-3-22 16:45

作者: 審問    時間: 2025-3-22 19:44
https://doi.org/10.1007/978-3-662-39676-6e learner can access. To increase the models ability to access information, we will give it the ability to ask more powerful questions. To decrease the models ability to access information, we will bound the number of mindchanges it may make.
作者: 補角    時間: 2025-3-23 00:05
Der Buchmarkt als Kommunikationsraum the efficiency of learning algorithms..The paper mainly emphasis to provide a comprehensive summary of results recently obtained, and of . developed. Finally, throughout our guided tour we discuss the question of what a natural language learning algorithm might look like.
作者: 一小塊    時間: 2025-3-23 05:16
Planung von Braunkohlentagebauen,ing consistently in polynomial time. In particular, we present a natural learning problem and prove that it can be solved in polynomial time if and only if the algorithm is allowed to work inconsistently.
作者: Conduit    時間: 2025-3-23 08:53
https://doi.org/10.1007/978-3-476-03346-8ase-based variant. The achieved results strengthen the conjecture of the equivalence of the learning power of symbolic and case-based methods and show the interdependency between the measure used by a case-based algorithm and the target concept.
作者: 預防注射    時間: 2025-3-23 11:00

作者: 碎石頭    時間: 2025-3-23 15:16
Learning and consistency,ing consistently in polynomial time. In particular, we present a natural learning problem and prove that it can be solved in polynomial time if and only if the algorithm is allowed to work inconsistently.
作者: PALMY    時間: 2025-3-23 22:01

作者: 拋射物    時間: 2025-3-24 01:21
Feature construction during tree learning,experiments are reported, and besides of considerations related to the size of the generated trees we also discuss the important issue of how comprehensible these trees are. In particular, we are interested in the intelligibility of the discovered features.
作者: peptic-ulcer    時間: 2025-3-24 03:43
Book 1995 the German Federal Ministry of Research and Technology during the years 1991 - 1994. This research effort was focused on the study of fundamental learnability problems integrating theoretical research with the development of tools and experimental investigation..The contributions by 11 participants
作者: Grasping    時間: 2025-3-24 08:57

作者: otic-capsule    時間: 2025-3-24 12:28

作者: FEAS    時間: 2025-3-24 14:53

作者: GREEN    時間: 2025-3-24 22:06

作者: tangle    時間: 2025-3-25 00:13

作者: 樸素    時間: 2025-3-25 03:23
Topological considerations in composing teams of learning machines, that any team identifying . contains strategies from all the families. For . the possibility of such splitting depends upon .. The relation between these phenomena and “voting” properties for types ., etc. is revealed.
作者: 膽小懦夫    時間: 2025-3-25 08:47

作者: Dissonance    時間: 2025-3-25 15:06
Classifying recursive predicates and languages,ish a new hierarchy. Furthermore, we introduce a formalization of . and characterize it. Finally, we study the classification of families of languages that have attracted a lot of attention in learning theory.
作者: modifier    時間: 2025-3-25 17:21
0302-9743 rticipants in the GOSLER project is complemented by contributions from 23 researchers from abroad. Thus the volume provides a competent introduction to algorithmic learning theory.978-3-540-60217-0978-3-540-44737-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 搏斗    時間: 2025-3-25 20:48
https://doi.org/10.1007/978-3-658-37123-4eved only when an unbounded number of alternations of these dual types of hypotheses is allowed. Finally, a universal method is presented enabling an inductive inference strategy to verify the incorrectness of any of its incorrect intermediate hypotheses.
作者: WAG    時間: 2025-3-26 02:56
https://doi.org/10.1007/978-3-658-37123-4 numberings..We then show that similar effects can be achieved for learning pattern languages and finite automata from good examples in polynomial time essentially using the “structure” of these objects. Here the number of the good examples is . by the size of the objects to be learnt (length of pattern, number of states, respectively).
作者: savage    時間: 2025-3-26 07:04
https://doi.org/10.1007/978-3-476-03346-8cted model..Part A of the paper shows the basis for different Machine Learning methods using logical equations. Part B gives a way how to use optimal strategies in order to obtain complete knowledge. A few examples illustrate the method.
作者: deficiency    時間: 2025-3-26 10:03

作者: 連詞    時間: 2025-3-26 14:02

作者: 減去    時間: 2025-3-26 20:37
,Optimal strategies — Learning from examples — Boolean equations,cted model..Part A of the paper shows the basis for different Machine Learning methods using logical equations. Part B gives a way how to use optimal strategies in order to obtain complete knowledge. A few examples illustrate the method.
作者: Adrenaline    時間: 2025-3-26 21:35
Book 1995rnability problems integrating theoretical research with the development of tools and experimental investigation..The contributions by 11 participants in the GOSLER project is complemented by contributions from 23 researchers from abroad. Thus the volume provides a competent introduction to algorithmic learning theory.
作者: 無法取消    時間: 2025-3-27 02:15
https://doi.org/10.1007/978-3-662-39676-6ish a new hierarchy. Furthermore, we introduce a formalization of . and characterize it. Finally, we study the classification of families of languages that have attracted a lot of attention in learning theory.
作者: 航海太平洋    時間: 2025-3-27 06:41

作者: evasive    時間: 2025-3-27 11:44
Towards reduction arguments for FINite learning,h described here is the development of analytical tools which permit the determination of team learning capabilities. The basis of our analytical framework is a reduction technique. We extend the notion of finite learning in order to successfully apply the reduction technique.
作者: 取消    時間: 2025-3-27 16:39
Pattern inference,tituting nonempty constant strings for variables in the pattern. Pattern inference is a task of identifying a pattern from given examples of its language. This paper presents a survey of pattern inference from viewpoints of inductive inference from positive data and probably approximately correct (PAC) learning with typical applications.
作者: HAUNT    時間: 2025-3-27 19:17

作者: 薄膜    時間: 2025-3-27 23:36

作者: 摘要記錄    時間: 2025-3-28 02:31
https://doi.org/10.1007/978-3-658-37123-4h described here is the development of analytical tools which permit the determination of team learning capabilities. The basis of our analytical framework is a reduction technique. We extend the notion of finite learning in order to successfully apply the reduction technique.
作者: gentle    時間: 2025-3-28 08:27
Der Buchmarkt als Kommunikationsraumtituting nonempty constant strings for variables in the pattern. Pattern inference is a task of identifying a pattern from given examples of its language. This paper presents a survey of pattern inference from viewpoints of inductive inference from positive data and probably approximately correct (PAC) learning with typical applications.
作者: 是他笨    時間: 2025-3-28 11:45

作者: PANT    時間: 2025-3-28 16:04

作者: Middle-Ear    時間: 2025-3-28 22:06
https://doi.org/10.1007/978-3-658-37123-4n so far. This notion is made mathematically precise and its general power is characterized. In spite of its strength it is shown that this approach is not of universal power. Consequently, then hypotheses are considered which “unprovably misclassify” examples and the properties of this approach are
作者: Guaff豪情痛飲    時間: 2025-3-28 23:49

作者: 娘娘腔    時間: 2025-3-29 04:36

作者: grovel    時間: 2025-3-29 10:11
Der logische Aufbau des überzeugungsbriefes to be both correct and “nearly” minimal size, i.e, within a computable function of being purely minimal size. Kinber showed that this parsimony requirement on final programs severely limits learning power. Nonetheless, in, for example, scientific inference, parsimony is considered highly desirable.
作者: 我吃花盤旋    時間: 2025-3-29 14:48
Von der Anfrage bis zur Lieferung of two classes the function belongs are used as subroutines. Upper and lower bounds for number of necessary strategies are obtained in several models: .- and .-identification and .-identification with limited number of mindchanges. It is proved that in .-identification it is necessary to use .?1)/2
作者: 冰河期    時間: 2025-3-29 16:38
https://doi.org/10.1007/978-3-662-39676-6ation type (., etc.). Qualitative aspects in composing teams are considered. For each . all recursive strategies can be split into several families so that any team identifying . contains strategies from all the families. For . the possibility of such splitting depends upon .. The relation between t
作者: 創(chuàng)造性    時間: 2025-3-29 23:19

作者: OVERT    時間: 2025-3-30 00:43
https://doi.org/10.1007/978-3-662-39676-6fication of recursive predicates and languages. In particular, we compare the classification of predicates and languages with the classification of arbitrary recursive functions and with learning. Moreover, we refine our investigations by introducing classification within a resource bound and establ
作者: alabaster    時間: 2025-3-30 04:55

作者: 高度表    時間: 2025-3-30 09:03

作者: Inclement    時間: 2025-3-30 14:51
Der Buchungsschlüssel für Industriebetriebeconsistent and conservative, though not in general strong monotonic. This class of languages has neither of the properties of finite thickness and finite elasticity usually used to prove inferability from positive data, so our proof method is the explicit construction of a tell-tale function for the
作者: Vasoconstrictor    時間: 2025-3-30 18:18

作者: 貴族    時間: 2025-3-31 00:25
https://doi.org/10.1007/978-3-476-03346-8ng set-theoretic concepts and logical functions..Many concepts of knowledge-based problem-solving are incorporated into one system which has been based on set-theoretical concepts. This results in a consisting methodology and in a comprehensive set of tools applicable in many fields. The transition
作者: Antarctic    時間: 2025-3-31 04:29

作者: surrogate    時間: 2025-3-31 07:24

作者: 仔細檢查    時間: 2025-3-31 12:25
https://doi.org/10.1007/3-540-60217-8Algorithmic Learning; Formal Languages; Indcutive Inference; Induktives Schlie?en; Machine Learning; Wiss
作者: HAIL    時間: 2025-3-31 15:59

作者: 有節(jié)制    時間: 2025-3-31 21:00
Learning and consistency,tly and completely reflected in the hypothesis the algorithm outputs on these data. However, this approach may totally fail. It may lead to the unsolvability of the learning problem, or it may exclude any efficient solution of it..Therefore we study several types of consistent learning in recursion-
作者: 頭盔    時間: 2025-3-31 23:52
Error detecting in inductive inference,n so far. This notion is made mathematically precise and its general power is characterized. In spite of its strength it is shown that this approach is not of universal power. Consequently, then hypotheses are considered which “unprovably misclassify” examples and the properties of this approach are
作者: extemporaneous    時間: 2025-4-1 03:36





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