Smoke 'em if you got 'em.

Always look on the bright side of life.

And (C)always (Am)look on the (Dm)bright (G7)side of (C)life. (Am)(Dm)(G7) (C)Always (Am)look on the (Dm)right (G7)side of (C)life. (Am)(Dm)(G7) (Come on guys, cheer up!) (D)Always (Bm)look on the (Em)bright (A7)side of (D)life. (Bm)(Em)(A7) (D)Always (Bm)look on the (Em)bright (A7)side of (D)life. (Bm)(Em)(A7) (Worse things happen at sea, you know.) (D)Always (Bm)look on the (Em)bright (A7)sid...

A Gentle Introduction to the Em Algorithm Part I Theory

Introduction My aim is to introduce the Expectation Maximization EM algorithm to you especially some of its theory I will skip proofs but I will derive many formulae that have practical use The EM algorithm is iterative and you should be familiar with its convergence properties I will discuss them in detail I will present applications of the EM algorithm to signal and image processing in a comp...

If You Can't Beat 'Em, Join 'Em: A Pragmatic Approach to Nonprecedential Opinions in the Federal Appellate Courts

You got to know when to hold (or unfold) 'em….

In this issue of Molecular Cell, Hoffmann et al. (2012) demonstrate that the ribosome-associated bacterial chaperone Trigger Factor assists in the maturation of ribosome-attached nascent chains by acting as both a holdase and an unfoldase.

EM Demystified: An Expectation-Maximization Tutorial

After a couple of disastrous experiments trying to teach EM, we carefully wrote this tutorial to give you an intuitive and mathematically rigorous understanding of EM and why it works. We explain the standard applications of EM to learning Gaussian mixture models (GMMs) and hidden Markov models (HMMs), and prepare you to apply EM to new problems. This tutorial assumes you have an advanced under...