'Maximum likelihood solution ' diaporamas de présentation

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning. Chapter 2: Probability distributions. Parametric Distributions. Basic building blocks: Need to determine given Representation: or ? Recall Curve Fitting. Binary Variables (1). Coin flipping: heads=1, tails=0

1.25k views • 86 slides

Week 3

797 views • 63 slides

Expectation-Maximization for HMMs and Motif Discovery

Expectation-Maximization for HMMs and Motif Discovery. Yves Moreau. Overview. The general Expectation-Maxization algorithm EM interpretation of the Baum-Welch algorithm for the learning of HMMs MEME for motif discovery. The general EM algorithm. EM algorithm. Maximum likelihood estimation

709 views • 43 slides