作者: Tailor 時(shí)間: 2025-3-21 20:32
Efficient learning of real time one-counter automata, by first learning an initial segment, .., of the infinite state machine that accepts the unknown language and then decomposing it into a complete control structure and a partial counter. A new, efficient ROCA decomposition algorithm, which will be presented in detail, allows this result. The decomp作者: Vital-Signs 時(shí)間: 2025-3-22 00:32 作者: Champion 時(shí)間: 2025-3-22 08:32
Language learning from membership queries and characteristic examples,istic example of a language . is an element of . which includes, in a sense, sufficient information to represent .. Every context-free language can be divided into a finite number of languages each of which has a characteristic example and it is decidable whether or not a context-free language has a作者: 傾聽 時(shí)間: 2025-3-22 10:29
Learning unions of tree patterns using queries,he union of the languages defined by each first-order terms in the set. Unfortunately, the class .. not polynomial time learnable in most of learning frameworks under standard assumptions in computational complexity theory. To overcome this computational hardness, we relax the learning problem by al作者: 不開心 時(shí)間: 2025-3-22 15:03
Inductive constraint logic,systems employ examples as true and false ground facts (or clauses), we view examples as interpretations which are true or false for the target theory. This viewpoint allows to reconcile the inductive logic programming paradigm with classical attribute value learning in the sense that the latter is 作者: 陳舊 時(shí)間: 2025-3-22 17:51
Incremental learning of logic programs,using the already defined predicates as background knowledge. Our class properly contains the class of innermost simple programs of [20] and the class of hereditary programs of [12,13]. Standard programs for multiplication, quick-sort, reverse and merge are a few examples of programs that can be han作者: 踉蹌 時(shí)間: 2025-3-23 00:02
Learning orthogonal ,-Horn formulas,le. Recently, it was pointed out that the problem of PAC-learning for these classes with membership queries can be reduced to that of query learning for the class of .-quasi Horn formulas with membership and equivalence queries. A .-quasi Horn formula is a CNF formula with each clause containing at 作者: 壓碎 時(shí)間: 2025-3-23 04:27
Machine induction without revolutionary paradigm shifts,l approaches to forbidding large changes in the size of programs conjectured..One approach, called ., requires all the programs conjectured on the way to success to be nearly (i.e., within a recursive function of) minimal size. It is shown that this very conservative constraint allows learning infin作者: 是限制 時(shí)間: 2025-3-23 07:58 作者: 使成核 時(shí)間: 2025-3-23 11:57 作者: COST 時(shí)間: 2025-3-23 15:57
Simulating teams with many conjectures,learning paradigm, a learner is given examples from a recursive function, which the learner attempts to learn by producing programs to compute that function. We say that a team is successful if at least one member of the team learns the target function. The problem, given two teams with bounded numb作者: 功多汁水 時(shí)間: 2025-3-23 19:42 作者: 被告 時(shí)間: 2025-3-23 22:52
Learning ordered binary decision diagrams,ueries that finds the minimum obdd for the target respecting a given ordering. We also prove that both types of queries and the restriction to a given ordering are necessary if we want minimality in the output, unless P=NP. If learning has to occur with respect to the optimal variable ordering, poly作者: obligation 時(shí)間: 2025-3-24 06:13
Simple PAC learning of simple decision lists, PAG learning model. The proof is based on a transformation from an algorithm based on equivalence queries (found independently by Simon). Then we introduce the class of simple decision lists, and extend our algorithm to show that simple decision lists are simple-PAC learnable as well. This last res作者: 漂泊 時(shí)間: 2025-3-24 06:34
The complexity of learning minor closed graph classes,olynomial time using membership and equivalence queries. The representation of the class is in terms of a set of minimal excluded minors (obstruction set). Moreover, a negative result for learning such classes using only equivalence queries is also provided, after introducing a notion of reducibilit作者: 致詞 時(shí)間: 2025-3-24 14:30
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/152965.jpg作者: seruting 時(shí)間: 2025-3-24 17:12 作者: 鞠躬 時(shí)間: 2025-3-24 21:39
https://doi.org/10.1007/978-3-322-92171-0 by first learning an initial segment, .., of the infinite state machine that accepts the unknown language and then decomposing it into a complete control structure and a partial counter. A new, efficient ROCA decomposition algorithm, which will be presented in detail, allows this result. The decomp作者: 沙發(fā) 時(shí)間: 2025-3-25 02:50
Bankpolitik in traditioneller Sichtnguage generated by an . even linear grammar. We introduce a natural subclass of . even linear languages, called ., and show that this subclass is learnable in the limit from positive examples. Furthermore, we propose a learning algorithm that identifies this subclass in the limit with almost linear作者: 險(xiǎn)代理人 時(shí)間: 2025-3-25 06:16 作者: 谷物 時(shí)間: 2025-3-25 09:54
Gründung und Errichtung der Kreditinstitutehe union of the languages defined by each first-order terms in the set. Unfortunately, the class .. not polynomial time learnable in most of learning frameworks under standard assumptions in computational complexity theory. To overcome this computational hardness, we relax the learning problem by al作者: 拱形大橋 時(shí)間: 2025-3-25 11:54
?Bankbetrieb“ und ?Bankbetriebslehre”systems employ examples as true and false ground facts (or clauses), we view examples as interpretations which are true or false for the target theory. This viewpoint allows to reconcile the inductive logic programming paradigm with classical attribute value learning in the sense that the latter is 作者: Misgiving 時(shí)間: 2025-3-25 19:23
Die Geld- und Kapitalanlagegesch?fteusing the already defined predicates as background knowledge. Our class properly contains the class of innermost simple programs of [20] and the class of hereditary programs of [12,13]. Standard programs for multiplication, quick-sort, reverse and merge are a few examples of programs that can be han作者: languor 時(shí)間: 2025-3-25 20:07
Gründung und Errichtung der Kreditinstitutele. Recently, it was pointed out that the problem of PAC-learning for these classes with membership queries can be reduced to that of query learning for the class of .-quasi Horn formulas with membership and equivalence queries. A .-quasi Horn formula is a CNF formula with each clause containing at 作者: 多節(jié) 時(shí)間: 2025-3-26 00:19
Gründung und Errichtung der Kreditinstitutel approaches to forbidding large changes in the size of programs conjectured..One approach, called ., requires all the programs conjectured on the way to success to be nearly (i.e., within a recursive function of) minimal size. It is shown that this very conservative constraint allows learning infin作者: flutter 時(shí)間: 2025-3-26 04:58
?Bankbetrieb“ und ?Bankbetriebslehre“nicity constraints. Thereby, we consider strong-monotonic, monotonic and weak-monotonic probabilistic learning of indexed families with respect to class comprising, class preserving and exact hypothesis spaces and investigate the probabilistic hierarchies of these learning models. Earlier results in作者: Virtues 時(shí)間: 2025-3-26 11:47
Gründung und Errichtung der Kreditinstitutesented a finite number of times. It is shown that learning from a noisy informant is equal to finite learning with .-oracle from a usual informant. This result has several variants for learning from text and using different oracles. Furthermore, partial identification of all r.e. sets can cope also 作者: creatine-kinase 時(shí)間: 2025-3-26 14:18 作者: capillaries 時(shí)間: 2025-3-26 20:40 作者: Enthralling 時(shí)間: 2025-3-26 22:21 作者: 斑駁 時(shí)間: 2025-3-27 02:37
?Bankbetrieb“ und ?Bankbetriebslehre“ PAG learning model. The proof is based on a transformation from an algorithm based on equivalence queries (found independently by Simon). Then we introduce the class of simple decision lists, and extend our algorithm to show that simple decision lists are simple-PAC learnable as well. This last res作者: patriot 時(shí)間: 2025-3-27 07:03 作者: 干旱 時(shí)間: 2025-3-27 11:18
Grammatical inference: An old and new paradigm,arnability of target classes represented by deterministic finite automata, context-free grammars, hidden Markov models, stochastic context-free grammars, simple recurrent neural networks, and casebased representations.作者: amenity 時(shí)間: 2025-3-27 14:01 作者: Stable-Angina 時(shí)間: 2025-3-27 20:11 作者: Keratectomy 時(shí)間: 2025-3-28 00:35 作者: Highbrow 時(shí)間: 2025-3-28 02:37 作者: 異常 時(shí)間: 2025-3-28 10:09 作者: 引導(dǎo) 時(shí)間: 2025-3-28 14:23 作者: Constituent 時(shí)間: 2025-3-28 15:53 作者: insecticide 時(shí)間: 2025-3-28 19:31 作者: CRP743 時(shí)間: 2025-3-29 02:11 作者: 傲慢物 時(shí)間: 2025-3-29 05:30
Gründung und Errichtung der Kreditinstituteormulas is learnable with membership, equivalence and subset queries. Moreover, it is shown that under some condition the class of orthogonal .-Horn formulas is learnable with membership and equivalence queries.作者: concert 時(shí)間: 2025-3-29 10:34 作者: MIR 時(shí)間: 2025-3-29 14:35
?Bankbetrieb“ und ?Bankbetriebslehre“above, we obtain probabilistic hierarchies highly structured without a “gap” between the probabilistic and deterministic learning classes. In the case of exact probabilistic learning, we are able to show the probabilistic hierarchy to be dense for every mentioned monotonicity condition. Considering 作者: ACME 時(shí)間: 2025-3-29 18:50
Learning unions of tree patterns using queries,time PAC-learnability and the polynomial time predictability of .. when membership queries are available. We also show a lower bound . of the number of queries necessary to learn .. using both types of queries. Further, we show that neither types of queries can be eliminated to achieve efficient lea作者: membrane 時(shí)間: 2025-3-29 23:31 作者: 種類 時(shí)間: 2025-3-30 00:29
Machine induction without revolutionary paradigm shifts,nference, it is shown that there are classes learnable . the non-revolutionary constraint (respectively, with severe parsimony), up to (i}+1) mind changes, and no anomalies, which classes cannot be learned with no size constraint, an unbounded, finite number of anomalies in the final program, but wi作者: 染色體 時(shí)間: 2025-3-30 06:32
Probabilistic language learning under monotonicity constraints,above, we obtain probabilistic hierarchies highly structured without a “gap” between the probabilistic and deterministic learning classes. In the case of exact probabilistic learning, we are able to show the probabilistic hierarchy to be dense for every mentioned monotonicity condition. Considering 作者: 補(bǔ)角 時(shí)間: 2025-3-30 09:17 作者: Aerophagia 時(shí)間: 2025-3-30 15:50 作者: GRAVE 時(shí)間: 2025-3-30 18:12
Inferring a DNA sequence from erroneous copies (abstract),作者: 灰心喪氣 時(shí)間: 2025-3-30 22:29 作者: 平靜生活 時(shí)間: 2025-3-31 01:10
Die Geld- und Kapitalanlagegesch?fte of hereditary programs of [12,13]. Standard programs for multiplication, quick-sort, reverse and merge are a few examples of programs that can be handled by our results but not by the earlier results of [12, 13, 20].作者: 牛的細(xì)微差別 時(shí)間: 2025-3-31 08:11
?Bankbetrieb“ und ?Bankbetriebslehre“roduce the class of simple decision lists, and extend our algorithm to show that simple decision lists are simple-PAC learnable as well. This last result is relevant in that it is, to our knowledge, the first learning algorithm for decision lists in which an exponentially wide set of functions may be used for the terms.作者: chondromalacia 時(shí)間: 2025-3-31 10:00 作者: progestogen 時(shí)間: 2025-3-31 15:59
Simple PAC learning of simple decision lists,roduce the class of simple decision lists, and extend our algorithm to show that simple decision lists are simple-PAC learnable as well. This last result is relevant in that it is, to our knowledge, the first learning algorithm for decision lists in which an exponentially wide set of functions may be used for the terms.作者: CAMP 時(shí)間: 2025-3-31 19:34
Conference proceedings 1995ctober 1995..The book contains 21 revised full papers selected from 46 submissions together with three invited contributions. It covers all current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of learning algorithms, computational lo作者: circuit 時(shí)間: 2025-4-1 01:17 作者: 是剝皮 時(shí)間: 2025-4-1 04:14 作者: STYX 時(shí)間: 2025-4-1 06:57
?Bankbetrieb“ und ?Bankbetriebslehre“nomial-time learnability implies the approximability of two NP-hard optimization problems: the problem of finding the optimal variable ordering for a given obdd and the Optimal Linear Arrangement problem on graphs.作者: investigate 時(shí)間: 2025-4-1 12:32 作者: auxiliary 時(shí)間: 2025-4-1 14:35
Language learning from membership queries and characteristic examples, characteristic example. We present an algorithm that learns parenthesis languages using membership queries and characteristic examples. Our algorithm runs in time polynomial in the number of production rules of a minimal parenthesis grammar and in the length of the longest characteristic example.作者: exceed 時(shí)間: 2025-4-1 21:52
Learning ordered binary decision diagrams,nomial-time learnability implies the approximability of two NP-hard optimization problems: the problem of finding the optimal variable ordering for a given obdd and the Optimal Linear Arrangement problem on graphs.
