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: Algorithmic Learning Theory; 26th International C Kamalika Chaudhuri,CLAUDIO GENTILE,Sandra Zilles Conference proceedings 2015 Springer Int

[復(fù)制鏈接]
查看: 29088|回復(fù): 51
樓主
發(fā)表于 2025-3-21 16:57:40 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Algorithmic Learning Theory
期刊簡稱26th International C
影響因子2023Kamalika Chaudhuri,CLAUDIO GENTILE,Sandra Zilles
視頻videohttp://file.papertrans.cn/153/152963/152963.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Algorithmic Learning Theory; 26th International C Kamalika Chaudhuri,CLAUDIO GENTILE,Sandra Zilles Conference proceedings 2015 Springer Int
影響因子.This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory..
Pindex Conference proceedings 2015
The information of publication is updating

書目名稱Algorithmic Learning Theory影響因子(影響力)




書目名稱Algorithmic Learning Theory影響因子(影響力)學(xué)科排名




書目名稱Algorithmic Learning Theory網(wǎng)絡(luò)公開度




書目名稱Algorithmic Learning Theory網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Algorithmic Learning Theory被引頻次




書目名稱Algorithmic Learning Theory被引頻次學(xué)科排名




書目名稱Algorithmic Learning Theory年度引用




書目名稱Algorithmic Learning Theory年度引用學(xué)科排名




書目名稱Algorithmic Learning Theory讀者反饋




書目名稱Algorithmic Learning Theory讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:42:33 | 只看該作者
Exact Learning of Multivalued Dependenciesgluin et al.’s exact learning model with membership and equivalence queries, provided that counterexamples and membership queries are formulated as 2-Quasi-Horn clauses. As a consequence, we obtain that the subclass of 2-Quasi-Horn theories which are equivalent to MVDF is polynomially learnable.
板凳
發(fā)表于 2025-3-22 04:13:30 | 只看該作者
Learning with a Drifting Target ConceptWe also provide general results for an algorithm capable of adapting to a variable rate of drift of the target concept. Some of the results also describe an active learning variant of this setting, and provide bounds on the number of queries for the labels of points in the sequence sufficient to obtain the stated bounds on the error rates.
地板
發(fā)表于 2025-3-22 05:07:30 | 只看該作者
Interactive Clustering of Linear Classes and Cryptographic Lower Boundser .. We also give cryptographic hardness results for interactive clustering. In particular, we show that, under plausible cryptographic assumptions, the interactive clustering problem is intractable for the concept classes of polynomial-size constant-depth threshold circuits, Boolean formulas, and finite automata.
5#
發(fā)表于 2025-3-22 12:24:06 | 只看該作者
6#
發(fā)表于 2025-3-22 13:05:31 | 只看該作者
7#
發(fā)表于 2025-3-22 21:06:42 | 只看該作者
8#
發(fā)表于 2025-3-23 00:56:27 | 只看該作者
9#
發(fā)表于 2025-3-23 02:17:02 | 只看該作者
Priced Learningry – depending on the current datum – and requiring that the overall sum of the costs incurred has to be finite. There are priced-learnable classes which are not iteratively learnable. The current work introduces the basic definitions and results for priced learning. This work also introduces various variants of priced learning.
10#
發(fā)表于 2025-3-23 09:01:04 | 只看該作者
0302-9743 arning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory..978-3-319-24485-3978-3-319-24486-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
 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, 2025-10-16 06:37
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
荔波县| 修文县| 德昌县| 龙州县| 雅安市| 阆中市| 永和县| 迁西县| 迭部县| 莎车县| 济宁市| 博罗县| 龙海市| 宜君县| 炉霍县| 韩城市| 临汾市| 佛山市| 察哈| 宝兴县| 舟曲县| 朝阳市| 仙桃市| 天长市| 彭州市| 新巴尔虎左旗| 芦山县| 涪陵区| 房山区| 金湖县| 营山县| 汝南县| 黎平县| 石景山区| 常宁市| 同仁县| 都安| 五寨县| 龙游县| 长沙县| 富宁县|