Open Access
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
Article Number 05011
Number of page(s) 5
Section Session 5: Information Processing Methods and Techniques
Published online 05 September 2017
  1. Tom M. Mitchell. Machine Learning [M]. Machinery Industry Press, 2004. [Google Scholar]
  2. Lebeltel O, Bessière P, Diard J, et al. Bayesian robot programming[J]. Autonomous Robots, 2004, 16(1): 49–79. [CrossRef] [Google Scholar]
  3. Diard J, Bessiere P, Mazer E. A survey of probabilistic models using the bayesian programming methodology as a unifying framework[C].2003. [Google Scholar]
  4. Russell S, Norvig P. Artificial intelligence: a modern approach[J]. 1995. [Google Scholar]
  5. Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum. Human-level concept learning through probabilistic program induction. Science, 2015, 11: 1332–1338. [CrossRef] [Google Scholar]
  6. Fua P. Plänkers R, Thalmann D. Realistic Human Body Modeling[C]. In Fifth International Symp- osium on the 3-D Analysis of Human Movement, Chattanooga, TN, 1998, 5(1): 360–372. [Google Scholar]
  7. Thalmann D. Human Modelling and Animation[R]. Eurographics’93 State-of-the-Art Reports, Chapter 7, 2004, 18(2): 49–54. [Google Scholar]

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