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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

The effect of various temporal arrangements of practice on the mastery of an animal maze of moderate complexity

Cook, Sidney Albert, January 1928 (has links)
Published also as Thesis (Ph. D.)--Columbia University, 1928. / Bibliography: p. 33.
22

The Georgia Information Sharing and Analysis Center : a model for State and Local Governments role in the Intelligence Community /

English, Charles D. January 2004 (has links) (PDF)
Thesis (M.A. in National Security Studies (Homeland Security and Defense))--Naval Postgraduate School, June 2004. / Thesis advisor(s): Maria Rasmussen. Includes bibliographical references (p. 59-60). Also available online.
23

A comprehensive literature review and critique of emotional intelligence as a conceptual framework for school counselors

McManus, Maureen. January 2001 (has links) (PDF)
Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2001. / Includes bibliographical references.
24

Generating, Integrating, and Activating Thesauri for Concept-based Document Retrieval

Chen, Hsinchun, Lynch, K.J., Basu, K., Ng, Tobun Dorbin 04 1900 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / This Blackboard-based design uses a neural-net spreading-activation algorithm to traverse multiple thesauri. Guided by heuristics, the algorithm activates related terms in the thesauri and converges on the most pertinent concepts.
25

Expert Prediction, Symbolic Learning, and Neural Networks: An Experiment on Greyhound Racing

Chen, Hsinchun, Buntin, P., She, Linlin, Sutjahjo, S., Sommer, C., Neely, D. 12 1900 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / For our research, we investigated a different problem-solving scenario called game playing, which is unstructured, complex, and seldom-studied. We considered several real-life game-playing scenarios and decided on greyhound racing. The large amount of historical information involved in the search poses a challenge for both human experts and machine-learning algorithms. The questions then become: Can machine-learning techniques reduce the uncertainty in a complex game-playing scenario? Can these methods outperform human experts in prediction? Our research sought to answer these questions.
26

Information Visualization for Collaborative Computing

Chen, Hsinchun, Nunamaker, Jay F., Orwig, Richard E., Titkova, Olga 08 1900 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / A prototype tool classifies output from an electronic meeting system into a manageable list of concepts, topics, or issues that a group can further evaluate. In an experiment with output from GroupSystems electronic meeting system, the tool's recall ability was comparable to that of a human facilitator, but took roughly a sixth of the time.
27

Intelligent Multimedia Computer Systems: Emerging Information Resources in the Network Environment

Bailey, Charles W. January 1990 (has links)
A multimedia computer system is one that can create, import, integrate, store, retrieve, edit, and delete two or more types of media materials in digital form, such as audio, image, full-motion video, and text information. This paper surveys four possible types of multimedia computer systems: hypermedia, multimedia database, multimedia message, and virtual reality systems. The primary focus is on advanced multimedia systems development projects and theoretical efforts that suggest long-term trends in this increasingly important area.
28

Estimating drug/plasma concentration levels by applying neural networks to pharmacokinetic data sets

Tolle, Kristin M., Chen, Hsinchun, Chow, Hsiao-Hui January 2000 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / Predicting blood concentration levels of pharmaceutical agents in human subjects can be made difficult by missing data and variability within and between human subjects. Biometricians use a variety of software tools to analyze pharmacokinetic information in order to conduct research about a pharmaceutical agent. This paper is the comparison between using a feedforward backpropagation neural network to predict blood serum concentration levels of the drug tobramycin in pediatric cystic fibrosis and hemotologicâ oncologic disorder patients with the most commonly used software for analysis of pharmacokinetics, NONMEM. Mean squared standard error is used to establish the comparability of the two estimation methods. The motivation for this research is the desire to provide clinicians and pharmaceutical researchers a cost effective, user friendly, and timely analysis tool for effectively predicting blood concentration ranges in human subjects.
29

The Intelligent Reference Information System Project: A Merger of CD-ROM LAN and Expert System Technologies

Bailey, Charles W. January 1992 (has links)
The University Libraries of the University of Houston created an experimental Intelligent Reference Information System (IRIS) over a two-year period. A ten-workstation CD-ROM LAN was implemented that provided access to nineteen citation, full-text, graphic, and numeric databases. An expert system, Reference Expert, was developed to assist users in selecting appropriate printed and electronic reference sources. This expert system was made available on both network and stand-alone workstations. Three research studies were conducted.
30

Fighting organized crimes: using shortest-path algorithms to identify associations in criminal networks

Xu, Jennifer J., Chen, Hsinchun January 2004 (has links)
Artificial Intelligence Lab, Department of MIS, University of Arizona / Effective and efficient link analysis techniques are needed to help law enforcement and intelligence agencies fight organized crimes such as narcotics violation, terrorism, and kidnapping. In this paper, we propose a link analysis technique that uses shortest-path algorithms, priority-first-search (PFS) and two-tree PFS, to identify the strongest association paths between entities in a criminal network. To evaluate effectiveness, we compared the PFS algorithms with crime investigatorsâ typical association-search approach, as represented by a modified breadth-first-search (BFS). Our domain expert considered the association paths identified by PFS algorithms to be useful about 70% of the time, whereas the modified BFS algorithmâ s precision rates were only 30% for a kidnapping network and 16.7% for a narcotics network. Efficiency of the two-tree PFS was better for a small, dense kidnapping network, and the PFS was better for the large, sparse narcotics network.

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