图 书 馆
如何使用贝叶斯法则,方法检出最低限值法和专家预测法How to predict with Bayes, MDL, and Experts |
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| 课程网址: | http://videolectures.net/mlss05au_hutter_hpbme/ |
| 主讲教师: | Marcus Hutter |
| 开课单位: | 澳大利亚国立大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Most passive Machine Learning tasks can be (re)stated as sequence prediction problems. This includes pattern recognition, classification, time-series forecasting, and others. Moreover, the understanding of passive intelligence also serves as a basis for active learning and decision making. In the recent past, rich theories for sequence prediction have been developed, and this is still an ongoing process. On the other hand, we are arriving at the stage where some important results are already termed classical. While much of the current Learning Theory is formulated under the assumption of independent and identically distributed (i.i.d.) observations, this lecture series focusses on situations without this prerequisite (e.g. weather or stock-market time-series). |
| 关 键 词: | 机器学习; 序列预测; 主动学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-29：吴雨秋(课程编辑志愿者) |
| 阅读次数: | 46 |