Titlebook: KI 2007: Advances in Artificial Intelligence; 30th Annual German C Joachim Hertzberg,Michael Beetz,Roman Englert Conference proceedings 200

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書目名稱KI 2007: Advances in Artificial Intelligence影響因子(影響力)




書目名稱KI 2007: Advances in Artificial Intelligence影響因子(影響力)學(xué)科排名




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書目名稱KI 2007: Advances in Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱KI 2007: Advances in Artificial Intelligence被引頻次




書目名稱KI 2007: Advances in Artificial Intelligence被引頻次學(xué)科排名




書目名稱KI 2007: Advances in Artificial Intelligence年度引用




書目名稱KI 2007: Advances in Artificial Intelligence年度引用學(xué)科排名




書目名稱KI 2007: Advances in Artificial Intelligence讀者反饋




書目名稱KI 2007: Advances in Artificial Intelligence讀者反饋學(xué)科排名

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我吃花盤旋

貪心

Yohannes Kassahun,Jan Hendrik Metzen,Jose de Gea,Mark Edgington,Frank Kirchner

LIMIT

Heiko Müller,Martin Lauer,Roland Hafner,Sascha Lange,Artur Merke,Martin Riedmiller

突變

SHRIK

Pinpointing in the Description Logic ,is not surprising since we can show that a given TBox may have exponentially many such minimal subsets. However, we can also show that the problem is not even output polynomial, i.e., unless P=NP, there cannot be an algorithm computing all such minimal sets that is polynomial in the size of its inpu

強(qiáng)制性

Extending Markov Logic to Model Probability Distributions in Relational Domainssponding restrictions on processes for which models can be learned using standard methods and thus enables Markov logic networks to be practically applied to a far greater class of generative stochastic processes.

消毒

起皺紋

Conference proceedings 2007ing a healthy number of approaches dealing with uncertainty, contradiction, and incompleteness of knowledge. All in all, KI-2007 provided a cross section of modern AI research and application work. KI-2007 also constituted a “small anniversary,” being the 30th exemplar of its kind. The invited talk