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摘要: 简要介绍了学习算法的发展状况;讨论了机器智能与模式识别研究中的统计学习方法和图模型的一般理论;重点叙述了图模型的统计推断过程和学习算法以及应用统计学习方法解决问题的一般步骤;最后给出了用于时间序列分析的动态贝叶斯网络的实例.Abstract: In this paper, the general theory of statistical learning methods and graphical model in machine intelligence and pattern recognition are discussed. We specially depict the inference process and learning algorithm of graphical model, and the general steps of application of statistical learning methods to solve problems. In the last, we give an example of dynamical Bayesian networks for time series data analysis.
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Key words:
- Machine intelligence /
- pattern recognition /
- graphical model /
- statistical learning
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