摘要：
There has been few monthes that I haven't read PRML.Few monthes ago, I tried to read the PRML book, I gained lots of insights of Bayes's view, however I spent lots of time. After reading the first four chapters I found it's really hard for me to move on, and through talking with others f 阅读全文
2013年6月16日
2013年5月29日
摘要：
When we need Factor Analysis:Factor Analysis: If we have very few data, however we still wanna to estimate it though Gaussian distribution, unfortunately, if we adopt Gaussian directly we would get pretty bad consequence, the result Gaussian would be affine within the data spanned space(long and thi 阅读全文
摘要：
(From yesterday to now, I have learning EM for 4 times, and each time I will gain some new ideas and correct some misunderstandings. So cool!)Finally knows that the P(x(i),z(i);θ) means the joint distribution of x and z, parametered byθ.Only if the taget data's distribution belongs to exponentia 阅读全文
摘要：
Yesterday while reviewing the SVM, I understand why we need to transfer the prime form into the dual form.The reason is that in the prime form, we have to solve the maximum optimization problem for αfirstly, however if we take derivative with respect to α, we would get the original optimization form 阅读全文
2013年5月19日
摘要：
(we need to find theta which can minimize this formular for each prediction)Local weighted regression is very costly. This algorithm will train the theta vector while predicting each time.Besides Local weighted regression is kind of parameteric learning algorithm, which means the number of paramters 阅读全文
