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(fù)制鏈接]
樓主: 到凝乳
21#
發(fā)表于 2025-3-25 13:16:13 | 只看該作者
Katja Kanzler,Brigitte Georgi-Findlayree languages of arbitrarily many dimensions. Via the correspondence between trees and string languages (“yield operation”) this is equivalent to the statement that this way even some string language classes beyond context-freeness have become learnable with respect to Angluin’s learning model as well.
22#
發(fā)表于 2025-3-25 19:52:07 | 只看該作者
,Musterl?sungen zu den übungen,to extract some nontrivial structure in the form of a PDFA with 30-50 states. An additional feature, in fact partly explaining the reduction in sample size, is that our algorithm does not need as input any information about the distinguishability of the target.
23#
發(fā)表于 2025-3-25 21:27:18 | 只看該作者
A Polynomial Algorithm for the Inference of Context Free Languages is based on a generalisation of distributional learning and uses the lattice of context occurrences. The formalism and the algorithm seem well suited to natural language and in particular to the modelling of first language acquisition.
24#
發(fā)表于 2025-3-26 01:03:20 | 只看該作者
25#
發(fā)表于 2025-3-26 07:29:13 | 只看該作者
26#
發(fā)表于 2025-3-26 10:23:04 | 只看該作者
27#
發(fā)表于 2025-3-26 13:50:27 | 只看該作者
Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automatato extract some nontrivial structure in the form of a PDFA with 30-50 states. An additional feature, in fact partly explaining the reduction in sample size, is that our algorithm does not need as input any information about the distinguishability of the target.
28#
發(fā)表于 2025-3-26 17:18:50 | 只看該作者
Learning Commutative Regular Languagesmmutative 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.
29#
發(fā)表于 2025-3-26 23:07:39 | 只看該作者
30#
發(fā)表于 2025-3-27 01:36:15 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 23:15
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
连山| 张家界市| 张家港市| 天门市| 普格县| 黄骅市| 宜丰县| 寻甸| 黎城县| 耒阳市| 措勤县| 曲周县| 凌云县| 虹口区| 塘沽区| 方城县| 盘锦市| 永兴县| 抚顺县| 台东市| 南漳县| 台前县| 麻江县| 丹东市| 安徽省| 合水县| 深州市| 冕宁县| 南充市| 且末县| 东光县| 台南县| 剑川县| 龙江县| 柏乡县| 东光县| 宽城| 中山市| 怀宁县| 东乡| 陇西县|