Titlebook: Algorithmic Learning Theory; 20th International C Ricard Gavaldà,Gábor Lugosi,Sandra Zilles Conference proceedings 2009 Springer-Verlag Ber

傳家寶

書(shū)目名稱(chēng)Algorithmic Learning Theory影響因子(影響力)




書(shū)目名稱(chēng)Algorithmic Learning Theory影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Algorithmic Learning Theory網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Algorithmic Learning Theory網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Algorithmic Learning Theory被引頻次




書(shū)目名稱(chēng)Algorithmic Learning Theory被引頻次學(xué)科排名




書(shū)目名稱(chēng)Algorithmic Learning Theory年度引用




書(shū)目名稱(chēng)Algorithmic Learning Theory年度引用學(xué)科排名




書(shū)目名稱(chēng)Algorithmic Learning Theory讀者反饋




書(shū)目名稱(chēng)Algorithmic Learning Theory讀者反饋學(xué)科排名

anthropologist

轉(zhuǎn)折點(diǎn)

Learning on the Webactual patterns of sparsity on the Web are not paid much attention. Those patterns might be very relevant to the communication costs of distributed learning algorithms, which are necessary at Web scale, but little work has been done on this.

alcoholism

集合

https://doi.org/10.1007/978-3-658-18929-7t. The idea is to query the labels of just a few points that are especially informative about the decision boundary, and thereby to obtain an accurate classifier at significantly lower cost than regular supervised learning.

換話(huà)題

Der Beschaffungsmarkt und seine Mechanismenerence techniques and transformations. In this invited talk, I’ll review the inference techniques used for solving individual planning instances from scratch, and discuss the use of learning methods and transformations for obtaining more general solutions.

某人

Der Beschaffungsmarkt und seine Mechanismenplore the crucial information hidden in links will be introduced, including (1) . for object distinction analysis, (2) . for veracity analysis, (3) . for online analytical processing of information networks, and (4) . for integrated ranking-based clustering. We also discuss some of our on-going studies in this direction.

背心

Conference proceedings 2009 in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions. The papers are divided into topical sections of papers on o

Paraplegia

https://doi.org/10.1007/978-3-663-13603-3n composition)..The learning theory community has only recently started to analyze domain adaptation problems. In the talk, I will overview some recent theoretical models and results regarding domain adaptation..This talk is based on joint works with Mehryar Mohri and Afshin Rostamizadeh.

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