"Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational ..."
"This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to ..."
"ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June
29, 2006, Revised Selected Papers Edoardo M. Airoldi, David M. Blei, Stephen E.
Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng ... Sajid M. Siddiqi, and
Geoffrey J. Gordon Discovering Functional Communities in Dynamical Networks .
......... 140 Cosma Rohilla Shalizi, Marcelo F. Camperi, and Kristina Lisa Klinkner
Empirical Analysis of a Dynamic So ..."
"This innovative volume offers the first sustained examination of the myriad ways Asian American Studies is taught at the university level. Through this lens, this volume illuminates key debates in U.S. society about pedagogy, multiculturalism, diversity, racial and ethnic identities, and communities formed on these bases. Asian American Studies shares critical concerns with other innovative fields that query representation, positionalit ..."