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Z-tree: Zürich Toolbox for Ready-Made Economic Experiments,

by Urs Fischbacher - Experimental Economics , 2007
"... Abstract z-Tree (Zurich Toolbox for Ready-made Economic Experiments) is a software for developing and conducting economic experiments. The software is stable and allows programming almost any kind of experiments in a short time. In this article, I present the guiding principles behind the software ..."
Abstract - Cited by 2037 (33 self) - Add to MetaCart
Abstract z-Tree (Zurich Toolbox for Ready-made Economic Experiments) is a software for developing and conducting economic experiments. The software is stable and allows programming almost any kind of experiments in a short time. In this article, I present the guiding principles behind the software

Experimental Tests of the Endowment Effect and the Coase Theorem,”

by Daniel Kahneman , Jack L Knetsch , Richard H Thaler - Journal of Political Economy, , 1990
"... Contrary to theoretical expectations, measures of willingness to accept greatly exceed measures of willingness to pay. This paper reports several experiments that demonstrate that this "endowment effect" persists even in market settings with opportunities to learn. Consumption objects (e. ..."
Abstract - Cited by 677 (25 self) - Add to MetaCart
.g., coffee mugs) are randomly given to half the subjects in an experiment. Markets for the mugs are then conducted. The Coase theorem predicts that about half the mugs will trade, but observed volume is always significantly less. When markets for "induced-value" tokens are conducted, the predicted

Reasons for Conducting Experiment:

by unknown authors
"... Overall Purpose: to investigate whether proximity to human disturbance was correlated to the rate of insect herbivory on leaves of Eupatorium altissimum. To build off recent studies: A recent study by Cahill, Castelli, and Casper found that even weekly visits to plants, using the minimal amount of h ..."
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the Nahant Preserve prairie area for our experimental site because it had several maintained mowed paths through the area, in which Eupatorium altissimum individuals occurred both in proximity to and at distance from the disturbance. Arnold, Krpan, and Thurwanger (2007) conducted an experiment to answer

possible to conduct experiments.

by Alla Yakunina, Dale Menkhaus, Alla Yakunina, Dale Menkhaus
"... Research area: Enterprises and Product Markets All opinions expressed here are those of the authors and not those of the Economics Education and Research Consortium Research dissemination by the EERC may include views on policy, but the EERC itself takes no institutional policy positions ..."
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Research area: Enterprises and Product Markets All opinions expressed here are those of the authors and not those of the Economics Education and Research Consortium Research dissemination by the EERC may include views on policy, but the EERC itself takes no institutional policy positions

Irrelevant Features and the Subset Selection Problem

by George H. John, Ron Kohavi, Karl Pfleger - MACHINE LEARNING: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL , 1994
"... We address the problem of finding a subset of features that allows a supervised induction algorithm to induce small high-accuracy concepts. We examine notions of relevance and irrelevance, and show that the definitions used in the machine learning literature do not adequately partition the features ..."
Abstract - Cited by 757 (26 self) - Add to MetaCart
not only on the features and the target concept, but also on the induction algorithm. We describe a method for feature subset selection using cross-validation that is applicable to any induction algorithm, and discuss experiments conducted with ID3 and C4.5 on artificial and real datasets.

Supervised and unsupervised discretization of continuous features

by James Dougherty, Ron Kohavi, Mehran Sahami - in A. Prieditis & S. Russell, eds, Machine Learning: Proceedings of the Twelfth International Conference , 1995
"... Many supervised machine learning algorithms require a discrete feature space. In this paper, we review previous work on continuous feature discretization, identify de n-ing characteristics of the methods, and conduct an empirical evaluation of several methods. We compare binning, an unsupervised dis ..."
Abstract - Cited by 540 (11 self) - Add to MetaCart
Many supervised machine learning algorithms require a discrete feature space. In this paper, we review previous work on continuous feature discretization, identify de n-ing characteristics of the methods, and conduct an empirical evaluation of several methods. We compare binning, an unsupervised

A Comparison of Methods for Multiclass Support Vector Machines

by Chih-Wei Hsu, Chih-Jen Lin - IEEE TRANS. NEURAL NETWORKS , 2002
"... Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass classification is still an ongoing research issue. Several methods have been proposed where typically we construct a multiclass classifier by combining several binary class ..."
Abstract - Cited by 952 (22 self) - Add to MetaCart
classifiers. Some authors also proposed methods that consider all classes at once. As it is computationally more expensive to solve multiclass problems, comparisons of these methods using large-scale problems have not been seriously conducted. Especially for methods solving multiclass SVM in one step, a much

Local features and kernels for classification of texture and object categories: a comprehensive study

by J. Zhang, S. Lazebnik, C. Schmid - International Journal of Computer Vision , 2007
"... Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an approach that represents images as distributions (signatures or histograms) of features extracted from a sparse set of keypoint locations an ..."
Abstract - Cited by 653 (34 self) - Add to MetaCart
and classifiers. We then conduct a comparative evaluation with several state-of-the-art recognition methods on four texture and five object databases. On most of these databases, our implementation exceeds the best reported results and achieves comparable performance on the rest. Finally, we investigate

An evaluation of statistical approaches to text categorization

by Yiming Yang - Journal of Information Retrieval , 1999
"... Abstract. This paper focuses on a comparative evaluation of a wide-range of text categorization methods, including previously published results on the Reuters corpus and new results of additional experiments. A controlled study using three classifiers, kNN, LLSF and WORD, was conducted to examine th ..."
Abstract - Cited by 663 (22 self) - Add to MetaCart
Abstract. This paper focuses on a comparative evaluation of a wide-range of text categorization methods, including previously published results on the Reuters corpus and new results of additional experiments. A controlled study using three classifiers, kNN, LLSF and WORD, was conducted to examine

Romantic Love Conceptualized as an Attachment Process,”

by Cindy Hazan , Phillip Shaver , Mary Ainsworth , John Bowlby , Harry Gollob , Kirk-Patrick Lee , Roger Kobak , Anne Peplau , Harry Reis , Judith Schwartz , Ar-Lene Skolnick , Robert Sternberg - Journal of Personality and Social Psychology, , 1987
"... This article explores the possibility that romantic love is an attachment process--a biosocial process by which affectional bonds are formed between adult lovers, just as affectional bonds are formed earlier in life between human infants and their parents. Key components of attachment theory, devel ..."
Abstract - Cited by 729 (18 self) - Add to MetaCart
that (a) relative prevalence of the three attachment styles is roughly the same in adulthood as in infancy, (b) the three kinds of adults differ predictably in the way they experience romantic love, and (c) attachment style is related in theoretically meaningful ways to mental models of self and social
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