Knowledge networks have received a significant amount of attention in the past few decades as people look beyond corporate governance and resource-based approaches to uncover sources of competitive advantage. While this area of research is useful for organizations in general,…

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…

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 Henry C. Chueh., Thesis (M.S.)--Harvard University--Massachusetts Institute of Technology Division of Health Sciences and Technology, Program in Medical Engineering and Medical Physics, 1989., Includes bibliographical references (leaves [165]-[172]).

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).

The small LDCs which own the great bulk of oil resour-
ces are rational agents and calculate with short horizons and
high discount rates. They have pre-commitments to spend much (or
even more than all) of their…

by C. Annique Un., Thesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, February 2001., "February 2000.", Includes bibliographical references (leaves 297-311).

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…

This dissertation investigates changes that occurred in architectural culture in respect to conditions of modernity. Large-scale industrialization and urbanization caused dramatic ruptures with traditional social and economic hierarchies, forcing a reconceptualization of the theoretical constructs underlying architecture. During the course…