There has been a lot of research addressing the relationship between Information Technology (IT) investments and
productivity. Most of the work has been based on firm-level metrics such as total IT investment. We present what
we believe is…

Karim Hussein ... [et al.], "March 1994.", Includes bibliographical references (p. [23]-[24])., Supported by the Productivity From Information Technology (PROFIT) Research Initiative at MIT.

M.P. Reddy ... [et al.], Reprint. Reprinted from IEEE transactions on knowledge and data engineering. Vol. 6, no. 6 (Dec. 1994) "December 1994.", Includes bibliographical references (p. 932)., Supported by the Productivity From Information Technology (PROFIT) Research Initiative at MIT.

The first two chapters of this thesis investigate a possibly fundamental aspect of technological progress. If knowledge accumulates as technology progresses, then successive generations of innovators may face an increasing educational burden, forcing them to spend longer periods in education…

by Jaime Francisco Brito., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1994., Includes bibliographical references (leaf 348).

Policies to avert the threat of dangerous climate change focus on stabilizing atmospheric carbon dioxide concentrations by drastically reducing anthropogenic emissions of carbon. Such reductions require limiting the use of fossil fuels-which supply the bulk of energy to economic activity,…

by Leslie Prince Rudolph., Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999., Includes bibliographical references (leaves 70-72).

by Roshanak Gilani., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2001., Includes bibliographical references (p. 71-73).

This dissertation is a critical analysis of the transformations in the definition of a modem architectural artifact and the artifact's changing status in an institutional context. This work develops on a series of themes which proceed on the assumption that…

I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and imitative learning. A generative probabilistic distribution is a principled way to model many machine learning and machine perception problems. Therein, one provides domain specific…