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Results 1 - 10
of
10,496
of Common Assumptions
"... Despite the recognized importance of groups ’ external contexts to their functioning, there is little research that fully explicates the relationship between groups and their environments. Instead, much extant research treats groups as closed systems. To advance the field’s understanding, we explore ..."
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for change, and as a target. We offer a summary of the assumptions in these characterizations, a critical examination of each characterization, and develop a future research agenda that extends each characterization and challenges its key assumptions in an effort to explore the relationship between groups
Common Assumption of Rationality Preliminary Version
, 2009
"... We solve a problem which was posed in the paper [2], “Admissibility in Games”. Given a finite game in strategic form with two players, we show that there is a complete lexicographic structure with the following property. A pair of strategies is iteratively admissible if and only if it belongs to a s ..."
Common assumptions in color characterization of projectors
- Proc. of Gjøvik Color Imaging Symposium
, 2009
"... Abstract. This work focuses on the evaluation of assumptions com-monly made in projector color characterization. We investigate if these assumptions are still valid along the spatial dimension. The originality of this work is to evaluate how these assumptions are valid along the spatial dimension. F ..."
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Cited by 1 (1 self)
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Abstract. This work focuses on the evaluation of assumptions com-monly made in projector color characterization. We investigate if these assumptions are still valid along the spatial dimension. The originality of this work is to evaluate how these assumptions are valid along the spatial dimension
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
- 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
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Cited by 515 (4 self)
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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
Testing for Common Trends
- Journal of the American Statistical Association
, 1988
"... Cointegrated multiple time series share at least one common trend. Two tests are developed for the number of common stochastic trends (i.e., for the order of cointegration) in a multiple time series with and without drift. Both tests involve the roots of the ordinary least squares coefficient matrix ..."
Abstract
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Cited by 464 (7 self)
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Cointegrated multiple time series share at least one common trend. Two tests are developed for the number of common stochastic trends (i.e., for the order of cointegration) in a multiple time series with and without drift. Both tests involve the roots of the ordinary least squares coefficient
Transmissions And Transitions: A Study Of Two Common Assumptions In Multi-Band ASR
- INTL. IEEE CONF. ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
, 1998
"... Is multi-band ASR inherently inferior to a full-band approach because phonetic information is lost due to the division of the frequency space into sub-bands? Do the phonetic transitions in sub-bands occur at different times? The first statement is a common objection of the critics of multi-band ASR, ..."
Abstract
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Cited by 15 (2 self)
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, and the second, a common assumption by multi-band researchers. This paper is dedicated to finding answers to both these questions. To study the first point, we calculate phonetic feature transmission for sub-bands. Not only do we fail to substantiate the above objection, but we observe the contrary. We confirm
On the optimality of the simple Bayesian classifier under zero-one loss
- MACHINE LEARNING
, 1997
"... The simple Bayesian classifier is known to be optimal when attributes are independent given the class, but the question of whether other sufficient conditions for its optimality exist has so far not been explored. Empirical results showing that it performs surprisingly well in many domains containin ..."
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Cited by 818 (27 self)
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containing clear attribute dependences suggest that the answer to this question may be positive. This article shows that, although the Bayesian classifier’s probability estimates are only optimal under quadratic loss if the independence assumption holds, the classifier itself can be optimal under zero
Corporate Financing and Investment Decisions when Firms Have Information that Investors Do Not Have
, 1984
"... This paper considers a firm that must issue common stock to raise cash to undertake a valuable investment opportunity. Management is assumed to know more about the firm’s value than potential investors. Investors interpret the firm’s actions rationally. An. equilibrium mode1 of the issue-invest deci ..."
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Cited by 2602 (7 self)
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This paper considers a firm that must issue common stock to raise cash to undertake a valuable investment opportunity. Management is assumed to know more about the firm’s value than potential investors. Investors interpret the firm’s actions rationally. An. equilibrium mode1 of the issue
On combining classifiers
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1998
"... We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision. An experimental ..."
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Cited by 1420 (33 self)
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We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision
Analysis of relative gene expression data using real-time quantitative
- PCR and 2 ���CT method. Methods 25
, 2001
"... of the target gene relative to some reference group The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantifica-such as an untreated control or a sample at time zero tion and relative quantification. Absolute quantification deter- in a time ..."
Abstract
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Cited by 2666 (6 self)
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of the target gene relative to some reference group The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantifica-such as an untreated control or a sample at time zero tion and relative quantification. Absolute quantification deter- in a
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