If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by focusing on the symbol-grounding problem, showing how symbols can emerge from a system…

by Kimberly G. Waters., Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002., Includes bibliographical references (p. 45-46).

by Abbinav Taneja., Thesis (S.M.)--Massachusetts Institute of Technology, Technology and Policy Program; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000., Includes bibliographical references (leaves 115-116).

The lack of effective data integration and knowledge representation in patient monitoring limits its utility to clinicians. Intelligent alarm algorithms that use artificial intelligence techniques have the potential to reduce false alarm rates and to improve data integration and knowledge…

Speech synthesis is an automatic encoding process carried out by machine through which symbols conveying linguistic information are converted into an acoustic waveform. In the past decade or so, a recent trend toward a non-parametric, corpus-based approach has focused on…

Understanding the biological signals encoded in a genome is a key challenge of computational biology. These signals are encoded in the four-nucleotide alphabet of DNA and are responsible for all molecular processes in the cell. In particular, the genome contains…

(cont.) to the verifier., We consider an implementation of a weakened notion of zero-knowledge (weak ZK) where the simulator is also allowed to depend on the distinguisher as well, so this type of ZK entails exhibiting an efficient simulator for…

Satellite and wireless networks operate over time varying channels that depend on attenuation conditions, power allocation decisions, and inter-channel interference. In order to reliably integrate these systems into a high speed data network and meet the increasing demand for high…

If we are to understand the innately human ability to solve complex problems, we must first understand the cognitive processes that allow us to combine different kinds of knowledge, to learn new things and to communicate with other people. I…

Communication over interference channels poses challenges not present for the more traditional additive white Gaussian noise (AWGN) channels. In order to approach the information limits of an interference channel, interference mitigation techniques need to be integrated with channel coding and…