Este trabajo pretende contribuir, desde una perspectiva histórico demográfica, al conocimiento del sector indígena de la población rionegrina ubicada en el ámbito mesetario extendido al sur de los ríos Limay y Negro, entre 1885 y 1920. En el marco del…

Most current web engineering approaches don’t have clear criteria for personalization, nor a clear strategy that designers can use to classify users and formulate a personalization strategy for the web site at design time. In this paper, we present a…

by Robert W. Sommer., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1992., Title as it appears in the M.I.T. Graduate List, June 1992: Building internal knowledge networks in multinational corporations, a study of cross-border research and development., Includes…

La acogida en el debate internacional de los Conocimientos Tradicionales, confirma, si no su
configuración como modalidad de los derechos de Propiedad Intelectual, la gestación y rediseño
de nuevos escenarios de disputa en torno a las creaciones del intelecto humano.…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

My dissertation centers on the meaning of dreams as interpreted by literati in the late Ming (1368-1644), viewed through the lens of the 1636 encyclopedia Forest of Dreams. This thirty-four-juan tome is the largest extant Chinese dream encyclopedia and includes…

by Robyn Arlene Edelson Kozierok., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993., Includes bibliographical references (leaves 99-100).

by Michael W. Frauens., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, February 2000., "January 2000.", Includes bibliographical references (p. 73-77).

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…

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