main.pdf is supplementary text for PRML(Pattern Recognition and Machine Learning) and give some answers for its exercises.

• chapter 2 : elementary text for matrix and integral calculus and Gauss distribution.
• chapter 3 : Woodbury formula, symmetric matrix and KL divergence.
• chapter 4 : Jensen's inequality, Dirac delta function and the relation between logistic sigmoid function and inverse function of probit function.
• chapter 5 : neural network
• chapter 9 : EM algprithm
• chapter 10 : get L for mixing Guass distribution

platex main.tex
platex main.tex
dvipdfmx main.dvi

CC BY 3.0(https://creativecommons.org/licenses/by/3.0/)

MITSUNARI Shigeo(herumi at nifty dot com)