1,721,027 research outputs found
Pantelis P. Analytis' Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Project files for "Linear integration and lexicographic models of choice: A cue weight learning perspective"
No full textThis project repository contains all the files related to manuscript "Linear integration and lexicographic models of choice: A cue weight learning perspective" by Hrvoje Stojić, Henrik Olsson and Pantelis P. Analytis
Project files for "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options"
No full textThis project repository contains all the files related to preregistration of "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options" by Hrvoje Stojić, Eric Schulz, Pantelis P. Analytis and Maarten Speekenbrink
Project files for "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options"
No full textThis project repository contains all the files related to preregistration of "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options" by Hrvoje Stojić, Eric Schulz, Pantelis P. Analytis and Maarten Speekenbrink
Project files for "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options"
No full textThis project repository contains all the files related to preregistration of "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options" by Hrvoje Stojić, Eric Schulz, Pantelis P. Analytis and Maarten Speekenbrink
Project files for "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options"
No full textThis project repository contains all the files related to preregistration of "It’s new, but is it good? How generalization and uncertainty guide the exploration of novel options" by Hrvoje Stojić, Eric Schulz, Pantelis P. Analytis and Maarten Speekenbrink
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Multi-attribute utility models as cognitive search engines
Get PDFIn optimal
stopping problems, decision makers are assumed to search randomly to learn the
utility of alternatives; in contrast, in one-shot multi-attribute utility
optimization, decision makers are assumed to have perfect knowledge of
utilities. We point out that these two contexts represent the boundaries of a
continuum, of which the middle remains uncharted: How should people search
intelligently when they possess imperfect information about the alternatives?
We assume that decision makers first estimate the utility of each available
alternative and then search the alternatives in order of their estimated
utility until expected benefits are outweighed by search costs. We considered
three well-known models for estimating utility: (i) a linear multi-attribute
model, (ii) equal weighting of attributes, and (iii) a single-attribute
heuristic. We used 12 real-world decision problems, ranging from consumer
choice to industrial experimentation, to measure the performance of the three
models. The full model (i) performed best on average but its simplifications
(ii and iii) also had regions of superior performance. We explain the results
by analyzing the impact of the models' utility order and estimation
error
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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