Titlebook: Algorithmic Decision Theory; Third International Patrice Perny,Marc Pirlot,Alexis Tsoukiàs Conference proceedings 2013 Springer-Verlag Ber

Extraneous

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




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




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




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




書目名稱Algorithmic Decision Theory被引頻次




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




書目名稱Algorithmic Decision Theory年度引用




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




書目名稱Algorithmic Decision Theory讀者反饋




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

光滑

虛弱

不感興趣

Yu Peng,Shuling Wang,Naijun Zhan,Lijun Zhangiple scenarios. Our approach is an adaptation of a linear programming model that solves a Pydxp6g4roblem of coverage, also called “set covering”, by selecting the optimal mix of elements from the bank of the available scheduling patterns.

Atheroma

0302-9743 edings of the Third International Conference on Algorithmic Decision Theory, ADT 2013, held in November 2013 in Bruxelles, Belgium. The 33 revised full papers presented were carefully selected from more than 70 submissions, covering preferences in reasoning and decision making, uncertainty and robus

羽飾

Lecture Notes in Computer Science the number of parents a node may have. The learned CP-net is guaranteed to be consistent with the original CP-net on all queries from the learning process. We tested the algorithm on randomly generated CP-nets; the learned CP-nets agree with the originals on a high percent of non-training preference comparisons.

態(tài)度暖昧

https://doi.org/10.1007/b102376tive in solving the . and the . problems for instances of practical sizes. To this end, we propose encodings of the two problems as answer-set programs, design methods to generate LP tree votes randomly to support experiments, and present experimental results obtained with ASP solvers . and ..

NATAL

Learning CP-net Preferences Online from User Queries, the number of parents a node may have. The learned CP-net is guaranteed to be consistent with the original CP-net on all queries from the learning process. We tested the algorithm on randomly generated CP-nets; the learned CP-nets agree with the originals on a high percent of non-training preference comparisons.

contrast-medium

Aggregating Conditionally Lexicographic Preferences Using Answer Set Programming Solvers,tive in solving the . and the . problems for instances of practical sizes. To this end, we propose encodings of the two problems as answer-set programs, design methods to generate LP tree votes randomly to support experiments, and present experimental results obtained with ASP solvers . and ..

effrontery

Yuteng Lu,Kaicheng Shao,Weidi Sun,Meng Sunutions from the computational complexity perspective. Then, we address the problem from one agent’s point of view. In particular, we propose algorithms suggesting to an agent how to sequence its own tasks in order to optimize its own objective function, regardless of the other agents objectives.