找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: ;

[復制鏈接]
查看: 33680|回復: 69
樓主
發(fā)表于 2025-3-21 19:14:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Grammatical Inference: Learning Syntax from Sentences
編輯Laurent Miclet,Colin Higuera
視頻videohttp://file.papertrans.cn/388/387815/387815.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: ;
出版日期Conference proceedings 19961st edition
版次1
doihttps://doi.org/10.1007/BFb0033338
isbn_softcover978-3-540-61778-5
isbn_ebook978-3-540-70678-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
The information of publication is updating

書目名稱Grammatical Inference: Learning Syntax from Sentences影響因子(影響力)




書目名稱Grammatical Inference: Learning Syntax from Sentences影響因子(影響力)學科排名




書目名稱Grammatical Inference: Learning Syntax from Sentences網絡公開度




書目名稱Grammatical Inference: Learning Syntax from Sentences網絡公開度學科排名




書目名稱Grammatical Inference: Learning Syntax from Sentences被引頻次




書目名稱Grammatical Inference: Learning Syntax from Sentences被引頻次學科排名




書目名稱Grammatical Inference: Learning Syntax from Sentences年度引用




書目名稱Grammatical Inference: Learning Syntax from Sentences年度引用學科排名




書目名稱Grammatical Inference: Learning Syntax from Sentences讀者反饋




書目名稱Grammatical Inference: Learning Syntax from Sentences讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 23:09:21 | 只看該作者
Inductive inference from positive data: from heuristic to characterizing methods,mative or heuristic solutions. We consider here the heuristic inference methods and present a formal approach — the . — to them. Generalized quotients allows us to define clearly the heuristics used in these methods, and to examine from a firm basis relations between results produced by different he
板凳
發(fā)表于 2025-3-22 00:25:33 | 只看該作者
Unions of identifiable families of languages,limit from a text with bounds on mindchanges and anomalies. We show that, though these identification types are not closed under the set union, some of them still have features that resemble closedness. To formalize this, we generalize the notion of closedness. Then by establishing “how closed” thes
地板
發(fā)表于 2025-3-22 06:02:06 | 只看該作者
Characteristic sets for polynomial grammatical inference,is to try to use polynomial time and space. A typical idea to deal with the first point is to say that an algorithm performs well if it identifies . the correct language. The second point has led to debate about how to define polynomial time: the main definitions of polynomial inference have been pr
5#
發(fā)表于 2025-3-22 11:34:52 | 只看該作者
6#
發(fā)表于 2025-3-22 16:17:50 | 只看該作者
7#
發(fā)表于 2025-3-22 17:09:42 | 只看該作者
Clustering of sequences using a minimum grammar complexity criterion,n. Grammars, describing the structure of patterns, are used as kernel functions in a hierarchical agglomerative clustering algorithm, taking a ratio of decrease in grammar complexity as criterion for cluster association. Cluster analysis of a set of contour images is performed to illustrate the prop
8#
發(fā)表于 2025-3-22 21:28:48 | 只看該作者
A note on grammatical inference of slender context-free languages,he inference problem of slender context-free languages is not hard, and therefore, the languages have some weakness as cryptosystems. Then, we propose a hierarchical construction of families of slender languages by using some type of linear grammars and slender context-free languages. This makes the
9#
發(fā)表于 2025-3-23 03:34:59 | 只看該作者
10#
發(fā)表于 2025-3-23 06:25:07 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-5 02:42
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
视频| 湘潭县| 织金县| 太白县| 十堰市| 永登县| 海城市| 当涂县| 肇庆市| 五华县| 朝阳区| 兴业县| 文昌市| 龙南县| 汪清县| 馆陶县| 和林格尔县| 绥滨县| 上杭县| 兴安盟| 通海县| 益阳市| 蚌埠市| 共和县| 墨竹工卡县| 白玉县| 灌云县| 瑞丽市| 墨竹工卡县| 论坛| 黄大仙区| 会同县| 茶陵县| 平谷区| 霸州市| 成武县| 永宁县| 勐海县| 咸阳市| 罗江县| 陆川县|