Sarasota Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Sarasota residents' perceptions of and attitudes toward the performing arts

Seattle Performing Arts Research Coalition Community Report 2002

Presents findings from a 2002 Urban Institute survey of Seattle residents' perceptions of and attitudes toward the performing arts

Washington, D.C. Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Washington-area residents' perceptions of and attitudes toward the performing arts

Pittsburgh Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Pittsburgh residents' perceptions of and attitudes toward the performing arts

Sarasota Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Sarasota residents' perceptions of and attitudes toward the performing arts

Boston Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Boston residents' perceptions of and attitudes toward the performing arts

Washington, D.C. Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Washington-area residents' perceptions of and attitudes toward the performing arts

1-Bit Matrix Completion

In this paper we develop a theory of matrix completion for the extreme case of noisy 1-bit observations. Instead of observing a subset of the real-valued entries of a matrix M, we obtain a small number of binary (1-bit) measurements generated according to a probability distribution determined by the real-valued entries of M. The central question we ask is whether or not it is possible to obtain an accurate estimate of M from this data. In general this would seem impossible, but we show that the maximum likelihood estimate under a suitable constraint returns an accurate estimate of M when ||M||_{\infty} <= \alpha, and rank(M) <= r. If the log-likelihood is a concave function (e.g., the logistic or probit observation models), then we can obtain this maximum likelihood estimate by optimizing a convex program. In addition, we also show that if instead of recovering M we simply wish to obtain an estimate of the distribution generating the 1-bit measurements, then we can eliminate the requirement that ||M||_{\infty} <= \alpha. For both cases, we provide lower bounds showing that these estimates are near-optimal. We conclude with a suite of experiments that both verify the implications of our theorems as well as illustrate some of the practical applications of 1-bit matrix completion. In particular, we compare our program to standard matrix completion methods on movie rating data in which users submit ratings from 1 to 5. In order to use our program, we quantize this data to a single bit, but we allow the standard matrix completion program to have access to the original ratings (from 1 to 5). Surprisingly, the approach based on binary data performs significantly better

Diagnosis and Placement Variables Affecting the Outcome of Adolescents with Behavioral Disorders

The treatment of adolescents with behavior disorders represents significant challenges. This article reviews some of the most effective behavioral and pharmacological treatments identified in the research. The study used outcome data from a residential treatment program to identify variables that predicted level of functioning post-discharge. Significant variables included diagnosis (mood vs. behavior disorder spectrum), co-morbidity and discharge placement

Austin Performing Arts Research Coalition Community Report

Presents findings from a 2002 Urban Institute survey of Austin residents' perceptions of and attitudes toward the performing arts