朴素
发表于 2025-3-25 03:23:41
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.
胆小懦夫
发表于 2025-3-25 08:47:35
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Dissonance
发表于 2025-3-25 15:06:26
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.
modifier
发表于 2025-3-25 17:21:00
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
搏斗
发表于 2025-3-25 20:48:33
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.
WAG
发表于 2025-3-26 02:56:14
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).
savage
发表于 2025-3-26 07:04:16
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.
deficiency
发表于 2025-3-26 10:03:51
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连词
发表于 2025-3-26 14:02:49
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减去
发表于 2025-3-26 20:37:48
,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.