到凝乳
发表于 2025-3-21 16:50:50
书目名称Grammatical Inference: Algorithms and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0387813<br><br> <br><br>书目名称Grammatical Inference: Algorithms and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0387813<br><br> <br><br>
ABHOR
发表于 2025-3-21 21:59:46
,Mensch-Maschine-Systeme für die Planung,c linear languages and show the probabilistic learnability with membership queries in polynomial time. This learnability is derived from an exact learning algorithm for this subclass with membership queries, equivalence queries and a representative sample.
不能约
发表于 2025-3-22 02:58:59
Umsetzungsbeispiele und Lessons Learned, the relations existing between different models of correction queries, as well as their connection to other well-known Gold-style and query learning models. The study comprises results obtained in the general case when time complexity issues are ignored, and in the restricted case when efficiency c
拥护
发表于 2025-3-22 05:17:09
Polynomial Time Probabilistic Learning of a Subclass of Linear Languages with Queriesc linear languages and show the probabilistic learnability with membership queries in polynomial time. This learnability is derived from an exact learning algorithm for this subclass with membership queries, equivalence queries and a representative sample.
闲荡
发表于 2025-3-22 09:58:20
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兽群
发表于 2025-3-22 15:25:54
https://doi.org/10.1007/978-3-322-90632-8mmutative regular languages from positive and negative samples, and we show, from experimental results, that far from being a theoretical algorithm, it produces very high recognition rates in comparison with classical inference algorithms.
兽群
发表于 2025-3-22 20:47:27
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鼓掌
发表于 2025-3-22 23:04:55
https://doi.org/10.1007/978-3-642-58802-0ich is an unconventional model of computation based on biomolecules (.). We prove that a subclass of context-sensitive languages can be inferred by using the representation result in combination with reductions from linear languages to .-testable in the strict sense regular languages.
ear-canal
发表于 2025-3-23 03:29:28
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Soliloquy
发表于 2025-3-23 06:05:32
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