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Understanding of Anesthesia Machine Function is Enhanced with a Transparent Reality Simulation

by PhD; Ira S Fischler , MS; Cynthia E Kaschub , BSME; David E Lizdas , PhD Samsun Lampotang , 2007
"... Introduction: Photorealistic simulations may provide efficient transfer of certain skills to the real system, but by being opaque may fail to encourage deeper learning of the structure and function of the system. Schematic simulations that are more abstract, with less visual fidelity but make syste ..."
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, composition, volume, and pressure are not visible and may not be evident to learners. Others have attempted to address this learning need by creating anesthesia machine learning aids, including computer animations of machine faults, 1 simulations of the breathing circuit (BreathSim 2 ), and an online manual

Least Squares Support Vector Machines for Data Mining

by József Valyon, Gábor Horváth
"... Due to the extensive use of databases and data warehouses; it is very easy to collect large quantities of data from any aspect of life. The analysis of these data may lead to many useful or interesting conclusions. Data mining is a collection of methods and algorithms that can effectively be used to ..."
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to discover implicit, previously unknown, hidden trends, relationships, patterns in masses of data. Classical data mining uses many methods from different fields, like the foundations of linear algebra, graph theory, database theory, machine learning and artificial intelligence. In this paper, we address

Approved by:

by Christopher Charles Weigle, Russell M. Taylor Ii, Elizabeth Bullitt Reader, Christopher G. Healey, Stephen M. Pizer, Mary Whitton, Reader C, Christopher Charles Weigle , 2006
"... ii iii CHRISTOPHER CHARLES WEIGLE: Displays for Exploration and Comparison of Nested ..."
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ii iii CHRISTOPHER CHARLES WEIGLE: Displays for Exploration and Comparison of Nested

References

by Yoshua Bengio, Learning Theory, Jyrki Kivinen, Esko Ukkonen, Thomas Zeugmann, P. (a). Learning Long-term Dependencies , 2012
"... tures from multiple tasks and unlabeled data. J. Machine Learning Research, 6, 1817–1853. Bannard, C. and Callison-Burch, C. (2005). Paraphrasing with bilingual parallel corpora. In ACL. Bengio, S., Weston, J., and Grangier, D. (2010). Label embedding trees for large multi-class tasks. In NIPS’2010. ..."
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. Bengio, Y. (2009). Learning deep architectures for AI. Foundations and Trends in Machine Learning, 2(1), 1–127. Also published as a book. Now Publishers, 2009. Bengio, Y. (2012). Practical recommendations for gradient-based training of deep

1. REPORT DATE (DD-MM-YYYY) 4. TITLE AND SUBTITLE

by William Marsh
"... The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comm ..."
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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send

4. TITLE AND SUBTITLE A Practical Theory of Micro-Solar Power Sensor Networks

by Jaein Jeong , 2009
"... Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments ..."
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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments

1. A Prospectus on Agent Autonomy 1 Chapter 1 A Prospectus on Agent Autonomy

by Henry Hexmoor, Cristiano Castelfranchi, Rino Falcone
"... Abstract: This paper summarizes the state of art in agent autonomy. It dispels myths and builds a foundation for study of autonomy. We point to a renewed interest in good old-fashioned AI that has emerged from consideration of agents and autonomy. This paper also serves as a reader’s guide to the pa ..."
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and the “adjustability ” of this autonomy (Dorais, et al., 1998; Bradshaw, et al., 2001). This clearly is a consistent trend in AI and human machine interaction. This volume contains several papers on the state of art in the field and illustrates maturing trends ranging from analytical and formal approaches to concrete

BDRS PRICE DESCRIPTOR,

by unknown authors
"... This report focuses on the evidence about the health.consequences of smoking for women, and is intended to serve.the public health and medical communities as 'a unified source of existing scientific research. The major issues about tobacco use and women's health are examined, including tre ..."
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trends in consumption, biomedical evidence, and determinants of smoking ititiation, maintenance, and cessation. The biomedical aspects ofsmoking are presented in terms of mortality, morbiplity, cardiovasculaidiseases, cancer, pregnancy and infant,health,, Teptic ulcer disease, drug reactions and

Object/relational query optimization with chase

by Lucian Popa
"... and backchase ..."
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and backchase

Perspective An Online Bioinformatics Curriculum

by David B. Searls
"... Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university educat ..."
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Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university
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