Titlebook: Algorithmic Learning Theory; 15th International C Shoham Ben-David,John Case,Akira Maruoka Conference proceedings 2004 Springer-Verlag Berl

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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




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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

REIGN

Probabilistic Inductive Logic Programming intelligence: the integration of probabilistic reasoning with first order logic representations and machine learning. A rich variety of different formalisms and learning techniques have been developed. In the present paper, we start from inductive logic programming and sketch how it can be extended

MELD

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OMIT

Gerold Ambrosius,Hartmut Kaelbleed from relational databases using inductive logic programming and iterative optimization of a pseudo-likelihood measure. Inference is performed by Markov chain Monte Carlo over the minimal subset of the ground network required for answering the query. Experiments in a real-world university domain illustrate the promise of this approach.

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Isolate

等級的上升

https://doi.org/10.1007/978-3-658-05277-5 with probabilistic methods..More precisely, we outline three classical settings for inductive logic programming, namely ., ., and ., and show how they can be used to learn different types of probabilistic representations.

Awning

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