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fully observable
fully observable

... Fully observable: agents sensors can see all relevant info - no need to keep internal state - examples of fully observable problems? - is chess fully observable? ...
Game playing
Game playing

... There were two reasons that games appeared to be a good domain in which to explore machine intelligence. ...
docx - Fight Finance
docx - Fight Finance

... Over time, the chance of achieving or exceeding the mean price, GDR or NDR will get smaller and smaller. As time approaches infinity, the chance will approach zero. This makes sense because there are a small number of shares that will do exceptionally well. Think of Berkshire Hathaway, Google or Bla ...
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Conflict and Cooperation: Institutional and Behavioral Economics
Conflict and Cooperation: Institutional and Behavioral Economics

... institutions to simple heuristics and behavioral rules of thumb. True to Simon’s notion, Schmid argues that heuristics and rules of thumb should not be regarded as second-best, that they are instead strategic tools for dealing with uncertainty, complexity, and the social interdependencies implied by ...
A method for estimating insect abundance and patch occupancy
A method for estimating insect abundance and patch occupancy

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full version

... ABSTRACT. Standard approaches to constructing nonparametric confidence bands for functions are frustrated by the impact of bias, which generally is not estimated consistently when using the bootstrap and conventionally smoothed function estimators. To overcome this problem it is common practice to e ...
The Practical Implementation of Bayesian Model Selection
The Practical Implementation of Bayesian Model Selection

... information is available, the Bayesian model selection implementations provide a natural environment for introducing realistic and important views. By abandoning the pure subjective point of view, the evaluation of such Bayesian methods must ultimately involve frequentist considerations. Typically, ...
A Geometric Analysis of Subspace Clustering with Outliers
A Geometric Analysis of Subspace Clustering with Outliers

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ESTIMATION - scetcivil

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Aalborg Universitet Vomlelová, Marta

... causes no confusion we will not distinguish between a node and its label, and when the label consists of one variable, we avoid talking about it in set terms. In general, we will use calligraphic letters to denote nodes in an S-DAG. With this convention, the labels of nodes are sets of variables of ...
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OPTIMAL AUCTION DESIGN*t - Computer Science

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Statistical Downscaling of Daily Temperature in Central Europe

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X - Binus Repository

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Practical and Effective Approaches to Dealing with Clustered Data

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Chapter 8_Field_2005: Comparing several means: ANOVA
Chapter 8_Field_2005: Comparing several means: ANOVA

relative analysis of software cost and effort estimation
relative analysis of software cost and effort estimation

Knowledge Representation and Reasoning
Knowledge Representation and Reasoning

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First Pages - Yale Economics

Chapter 6 Statistical Graphs and Calculations
Chapter 6 Statistical Graphs and Calculations

< 1 ... 6 7 8 9 10 11 12 13 14 ... 98 >

Choice modelling

Choice modeling attempts to model the decision process of an individual or segment in a particular context. Choice modeling may be used to estimate non-market environmental benefits and costs.Many alternative models exist in econometrics, marketing, sociometrics and other fields, including utility maximization, optimization applied to consumer theory, and a plethora of other identification strategies which may be more or less accurate depending on the data, sample, hypothesis and the particular decision being modelled. In addition, choice modeling is regarded as the most suitable method for estimating consumers’ willingness to pay for quality improvements in multiple dimensions. The Nobel Prize for economics was awarded to a principal proponent of the choice modeling theory, Daniel McFadden.
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