So today’s group meeting got a bit heated as Nafiz, Ashley, and Xiao touched on the finer points of how to cross validate. Machine learning people, your comments are welcome.
Or: “Estimating how much we don’t know, and how much it can hurt us”. This post is about a paper I published recently with Predrag Radivojac’s group at Indiana University, who lead the study. One of the main activities I’m involved with is CAFA,* the critical assessment of function annotations. The general idea of CAFA […]
Found this on Reddit r/machinelearning (In related news, there’s a machine learning subreddit. Wow.) Support Vector Machines (warning: Wikipedia dense article alert in previous link!) are learning models used for classification: which individuals in a population belong where? So… how do SVM and the mysterious “kernel” work? The user curious_thoughts asked for an explanation of […]
Announcing CAFA 2: The Second Critical Assessment of protein Function Annotations Friends and Colleagues, We are pleased to announce the Second Critical Assessment of protein Function Annotation (CAFA) challenge. In CAFA 2, we would like to evaluate the performance of protein function prediction tools/methods (in old and new scenarios) and also expand the challenge to […]
“Our aim here is to maximize amusement, rather than coherence.” SCIgen developers Joke papers have been known to sneak into otherwise serious publications. Notably, in the Sokal Affair, Alan Sokal, a physicist, published a nonsense paper in Social Text, a leading journal in cultural studies. After it was published, Sokal revealed this paper to be a parody, kicking off […]
