Performance Evaluation of Machine Learning Methods in Cultural Modeling-Reference-Cited by-同舟云学术

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Performance Evaluation of Machine Learning Methods in Cultural Modeling

Published:2009-11 Issue:6 Volume:24 Page:1010-1017
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Li Xiao-Chen,Mao Wen-Ji,Zeng Daniel,Su Peng,Wang Fei-Yue

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11390-009-9290-8.pdf

Reference36 articles.

1. Subrahmanian V S. Computer science: Cultural modeling in real time. Science, 2007, 317(5844): 1509–1510.

2. Subrahmanian V S, Albanese M, Martinez M V, Nau D, Reforgiato D, Simari G I, Sliva A, Wilkenfeld J, Udrea O. CARA: A cultural-reasoning architecture. IEEE Intelligent Systems, 2007, 22(2): 12–16.

3. Khuller S, Martinez V, Nau D, Simari G, Sliva A, Subrahmanian V S. Finding most probable worlds of logic programs. In Proc. the First International Conference on Scalable Uncertainty Management, Washington DC, USA, October 10–12, 2007, pp.45–59.

4. Martinez V, Simari G I, Sliva A, Subrahmanian V S. CONVEX: Context vectors as a paradigm for learning group behaviors based on similarity. IEEE Intelligent Systems, 2007, 23(4): 51–57.

5. Wang F Y. Is culture computable? IEEE Intelligent Systems, 2009, 24(2): 2–3.

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