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Games and decisions

by Debra Edwards Ph. D , 1957
"... Agency ..."
Abstract - Cited by 610 (0 self) - Add to MetaCart
Abstract not found

Induction of Decision Trees

by J. R. Quinlan - MACH. LEARN , 1986
"... The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such syste ..."
Abstract - Cited by 4303 (4 self) - Add to MetaCart
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one

The New Science of Management Decision

by Simon, Stuart M. Dillon - In Proceedings of the 33 rd Conference of the Operational Research Society of New Zealand , 1960
"... Classical theories of choice emphasise decision making as a rational process. In general, these theories fail to recognise the formulation stages of a decision and typically can only be applied to problems comprising two or more measurable alternatives. In response to such limitations, numerous desc ..."
Abstract - Cited by 529 (1 self) - Add to MetaCart
descriptive theories have been developed over the last forty years, intended to describe how decisions are made. This paper presents a framework that classifies descriptive theories using a theme of comparison; comparisons involving attributes, alternatives and situations. The paper also reports on research

Rational Choice and the Framing of Decisions

by Amos Tversky, Daniel Kahneman , 1986
"... ..."
Abstract - Cited by 642 (11 self) - Add to MetaCart
Abstract not found

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

by Craig Boutilier, Thomas Dean, Steve Hanks - JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH , 1999
"... Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI planning, decision analysis, operations research, control theory and economics. While the assumptions and perspectives ..."
Abstract - Cited by 510 (4 self) - Add to MetaCart
Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI planning, decision analysis, operations research, control theory and economics. While the assumptions

Prospect theory: An analysis of decisions under risk

by Daniel Kahneman, Amos Tversky - Econometrica , 1979
"... Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at ..."
Abstract - Cited by 5935 (24 self) - Add to MetaCart
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at

Energy-Efficient Computing for Wildlife Tracking: Design Tradeoffs and Early Experiences with ZebraNet

by Philo Juang, Hidekazu Oki, Yong Wang, Margaret Martonosi, Li-shiuan Peh, Daniel Rubenstein , 2002
"... Over the past decade, mobile computing and wireless communication have become increasingly important drivers of many new computing applications. The eld of wireless sensor networks particularly focuses on applications involving autonomous use of compute, sensing, and wireless communication devices ..."
Abstract - Cited by 718 (10 self) - Add to MetaCart
for both scienti c and commercial purposes. This paper examines the research decisions and design tradeos that arise when applying wireless peer-to-peer networking techniques in a mobile sensor network designed to support wildlife tracking for biology research.

Probabilistic Part-of-Speech Tagging Using Decision Trees

by Helmut Schmid , 1994
"... In this paper, a new probabilistic tagging method is presented which avoids problems that Markov Model based taggers face, when they have to estimate transition probabilities from sparse data. In this tagging method, transition probabilities are estimated using a decision tree. Based on this method, ..."
Abstract - Cited by 1009 (9 self) - Add to MetaCart
In this paper, a new probabilistic tagging method is presented which avoids problems that Markov Model based taggers face, when they have to estimate transition probabilities from sparse data. In this tagging method, transition probabilities are estimated using a decision tree. Based on this method

A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting

by Yoav Freund, Robert E. Schapire , 1996
"... ..."
Abstract - Cited by 3437 (65 self) - Add to MetaCart
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Evaluating the use of exploratory factor analysis in psychological research

by Leandre R. Fabrigar, Robert C. Maccallum, Duane T. Wegener, Erin J. Strahan, Re R. Fabrigar, Erin J. Strahan, Department Of - Psychological Methods , 1999
"... Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each of ..."
Abstract - Cited by 495 (4 self) - Add to MetaCart
Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each
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