… And eventually, Jordan became a figure who often transcended race. Black social critic …
are Michael Jordan fanatics, and their parents don’t care/'3 The immense success of Jordan and …

… of Michael Jordan provokes reflection about the contradictory uses to which Jordan's body is
… desires of so many that makes Michael Jordan a supremely instructive figure for our times. …

The formalism of probabilistic graphical models provides a unifying framework for capturing
complex dependencies among random variables, and building large-scale multivariate …

Machine learning addresses the question of how to build computers that improve automatically
through experience. It is one of today’s most rapidly growing technical fields, lying at the …

Graphical models, a marriage between probability theory and graph theory, provide a
natural tool for dealing with two problems that occur throughout applied mathematics and …

Many of the classification algorithms developed in the machine learning literature, including
the support vector machine and boosting, can be viewed as minimum contrast methods that …

This paper presents a tutorial introduction to the use of variational methods for inference and
learning in graphical models (Bayesian networks and Markov random fields). We present a …

… my reading of the multiple texts that define Michael Jordan. Underneath and stitched into
those cultural formations called Michael Jordan is an old-fashioned, modernist conception of …

We present a new approach for modeling multi-modal data sets, focusing on the specific case
of segmented images with associated text. Learning the joint distribution of image regions …

Statistical applications in fields such as bioinformatics, information retrieval, speech
processing, image processing and communications often involve large-scale models in which …