Computer Science ›› 2018, Vol. 45 ›› Issue (6): 211-215.doi: 10.11896/j.issn.1002-137X.2018.06.038
• Artificial Intelligence • Previous Articles Next Articles
LIU Jing-lei1,2, LIAO Shi-zhong1
CLC Number:
[1]DOMSHLAK C,HULLERMEIER E,KACI S,et al.Preferences in AI:An Overview [J].Artificial Intelligence,2011,175(7/8):1037-1052. [2]BOUTILER C,BRAFMAN R,DOMSHLAK C,et al.CP-nets:A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements [J].Journal of artificial intelligence research,2004,21(1):135-191. [3]MATTEI N,PINI M S,ROSSI F,et al.Bribery in Voting withCP-nets[J].Annals of Mathematics and Artificial Intelligence,2013,68(1):1-26. [4]ALANNAZI E,MOUHOUB M,ZILLES S.The Complexity of Learning Acyclic Cp-nets [C]//The 25th International Joint Conference on Artificial Intelligence.New York,2016:1361-1367. [5]LIU J L,LIAO S Z.Expressive Efficiency of Two Kinds of Specific CP-nets[J].Information Sciences,2015,295(2):379-394. [6]LIU J L,LIAO S Z,ZHANG W.On the Completeness and Consistency for CP-nets[J].Journal of Software,2012,23(6):1531-1541.(in Chinese) 刘惊雷,廖士中,张伟.CP-nets的完备性及一致性研究[J].软件学报,2012,23(6):1531-1541. [7]LIU J T,XIONG Y,WU C H,et al.Learning Conditional Preference Networks from Inconsistent Examples [J].IEEE Transactions on Knowledge and Data Engineering,2014,26(2):376-390. [8]KOROCHE F,ZANNUTTINI B.Learning Conditional Preference Networks [J].Artificial Intelligence,2010,174(11):685-703. [9]HUANG S J,JIN R,ZHOU Z H.Active Learning by Querying Informative and Representative Examples [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(10):1936-1949. [10]LANG J,MENGIN J.The Complexity of Learning Separable Ceteris Paribus Preferences [C]//Proceedings of the 21st International Joint Conference on Artificial Intelligence.2009:848-853. [11]DIMOPOULOS Y,MICHAEL L,ATHIENITOU F.Ceteris Paribus Preference Elicitation with Predictive Guarantees [C]//Proceedings of the International Joint Conference on Artificial Intelligence.2009:1890-1895. [12]MUGGLETON S,MARGINEAN F.Logic-based Machine Learning [M]//Logic-based Artificial Intelligence.Springer US,2000:315-330. [13]GOLDSMITH J,LANG J,TRUSZCZYNSKI M,et al.The Computational Complexity of Dominance and Consistency in CP-nets[J].Journal of Artificial Intelligence Research,2008,33(1):403-432. [14]LU T,BOUTILIER C.Effective Sampling and Learning for Mallows Models with Pairwise Preferences Data [J].Journal of Machine Learning Research,2014,16(12):3783-3829. [15]COJAOGHLAN A.Belief Propagation Guided Decimation Fails on Random Formulas [J].Journal of the ACM,2017,63(6):1-49,55. [16]OBIEDKOV S.Parameterized Ceteris Paribus Preferences Over Atomic Conjunctions under Conservative Semantics [J].Theoretical Computer Science,2016,658(1):375-390. [17]DAVIDE G,EMILIANO L,FRANCOIS S.The Ceteris Paribus Structure of Logics of Game Forms [J].Journal of Artificial Intelligence Research,2015,53(1):91-126. [18]BENTHEM V,GIRARD P,ROY O.Everything Else Being Equal:A Modal Logic for Ceteris Paribus Preferences [J].Journal of Philosophical Logic,2009,38(1):83-125. [19]GOTTLOB G,PICHLER R,WEI F.Bounded Treewidth as a Key to Tractability of Knowledge Representation and Reasoning[J].Artificial Intelligence,2010,174(1):105-132. [20]ZHOU L,WANG L,LIU L,et al.Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(11):2269-2283. |
[1] | WANG Jie, LI Xiao-nan, LI Guan-yu. Adaptive Attention-based Knowledge Graph Completion [J]. Computer Science, 2022, 49(7): 204-211. |
[2] | FANG Lian-hua, LIN Yu-mei, WU Wei-zhi. Optimal Scale Selection in Random Multi-scale Ordered Decision Systems [J]. Computer Science, 2022, 49(6): 172-179. |
[3] | XU Si-yu, QIN Ke-yun. Topological Properties of Fuzzy Rough Sets Based on Residuated Lattices [J]. Computer Science, 2022, 49(6A): 140-143. |
[4] | CAI Xiao-juan, TAN Wen-an. Improved Collaborative Filtering Algorithm Combining Similarity and Trust [J]. Computer Science, 2022, 49(6A): 238-241. |
[5] | LI Yan-yan, QIN Ke-yun. On Topological Properties of Generalized Rough Approximation Operators [J]. Computer Science, 2022, 49(3): 263-268. |
[6] | ZHAO Yang, NI Zhi-wei, ZHU Xu-hui, LIU Hao, RAN Jia-min. Multi-worker and Multi-task Path Planning Based on Improved Lion Evolutionary Algorithm forSpatial Crowdsourcing Platform [J]. Computer Science, 2021, 48(11A): 30-38. |
[7] | XU Jin. Construction and Application of Knowledge Graph for Industrial Assembly [J]. Computer Science, 2021, 48(6A): 285-288. |
[8] | DING Ling, XIANG Yang. Chinese Event Detection with Hierarchical and Multi-granularity Semantic Fusion [J]. Computer Science, 2021, 48(5): 202-208. |
[9] | LU Xun, LI Yan-yan, QIN Ke-yun. Relationship Among Three Types of Rough Approximation Pairs [J]. Computer Science, 2021, 48(4): 49-53. |
[10] | HU Ping, QIN Ke-yun. Similarity Construction Method for Pythagorean Fuzzy Set Based on Fuzzy Equivalence [J]. Computer Science, 2021, 48(1): 152-156. |
[11] | GUO Qing-chun,MA Jian-min. Judgment Methods of Interval-set Consistent Sets of Dual Interval-set Concept Lattices [J]. Computer Science, 2020, 47(3): 98-102. |
[12] | FENG Chen-jiao,LIANG Ji-ye,SONG Peng,WANG Zhi-qiang. New Similarity Measure Based on Extremely Rating Behavior [J]. Computer Science, 2020, 47(2): 31-36. |
[13] | SHI Xiao-ling, CHEN Zhi, YANG Li-gong, SHEN Wei. Matrix Factorization Recommendation Algorithm Based on Adaptive Weighted Samples [J]. Computer Science, 2019, 46(6A): 488-492. |
[14] | CHEN De-jiang, WANG Jun, ZHANG Hao-wei. Dynamic Threat Assessment Model Based on Intuitionistic Fuzzy Multiple Attribute Decision Making [J]. Computer Science, 2019, 46(4): 183-188. |
[15] | LIN Hong, QIN Ke-yun. Attribute Reduction for Decision Formal Contexts Based on Threek-way Decision Rules [J]. Computer Science, 2019, 46(3): 248-252. |
|