LMS(最小二乘方法).pptVIP

Machine Learning Why Machine Learning? Is computer smart? Difficulty to get and represent the knowledge. Why Machine Learning? Why Machine Learning? New kind of capability for computers - Database mining * Medical records - medical knowledge - Applications we can’t program by hand * Autonomous driving * Speech recognition Why Machine Learning? Understand human learning and teaching Time is right - Recent progress in algorithms and theory - Growing flood of online data - Computational power is available Model Based Learning Modeling Get the parameters of model based on the training data Model Based Learning Example 1: Data set: Equation: y=ax^2+bx+c Problem: to find the parameters: a, b, c Model Based Learning LMS（最小二乘方法） method Model Based Learning New problem: how to update the a, b and c from new data: Model Based Learning Example 2: Data set: Normal distribution: Problem: to find the parameters: Model Based Learning Cases in pattern recognition See: 模式识别,清华大学出版社，2000 Model Based Learning More general problem Data set: A mathematical model. Problem: to find the parameters of model. Model Based Learning More examples. Speech signal processing. Face recognition Signature verification … Model Based Learning Program: Mark V. Shaney’s work 擦洗黑板。观察黑板的干燥过程。水进入空气。当水进入空气时，水就蒸发了。把一条湿布系于一个固体或一瓶液体的一端。看看周围。固体是什么？那些进入云层的东西是什么？当云层移动时，空气就使得云层中的小水滴上下颠簸。 Model Based Learning 有时从云上掉下的水进入了绿色植物的叶片。绿色植物有相当多的孔，几乎就象海绵。…… 为什么我们五个五个一组地计数呢？在人们学习数许多东西时，往往扳着自己的手指头来数。首先他们点出恰好与自己双手的全部手指头一样多的东西。…… Model Based Learning Program: Mark V. Shaney’s work Why do we count things in groups of five. When people learned how to count many things, they matched them against their fingers. First they counted out enough things to match the fingers of both hands. Then they put these things aside in one quart. A giant-size bottle that will hold four quarts is a three-digit number. A digit gets its value from the top of a sidewalk are straight, and ……