Search results for "categorization"
showing 10 items of 199 documents
Does optimal partitioning of color space account for universal color categorization?
2017
A 2007 study by Regier, Kay, and Khetarpal purports to show that universal categories emerge as a result of optimal partitioning of color space. Regier, Kay, and Khetarpal only consider color categorizations of up to six categories. However, in most industrialized societies eleven color categories are observed. This paper shows that when applied to the case of eleven categories, Regier, Kay, and Khetarpal's optimality criterion yields unsatisfactory results. Applications of the criterion to the intermediate cases of seven, eight, nine, and ten color categories are also briefly considered and are shown to yield mixed results. We consider a number of possible explanations of the failure of th…
Changes in the Scheduling Process According to Observed Activity-travel Flexibility
2014
Abstract In this work we analyze the reasons for changing pre-planned activities and travels episodes considering the type of modification observed during the scheduling process. Specifically we selected a small sample from those pre-planned episodes that are no executed at all as a pilot study. The data analyzed was collected in the first wave of a weekly activity-travel panel survey carried out in Valencia (Spain) in 2010. Each survey wave consisted on a face-to-face interview to generate a pre-planned activity agenda for the following week, an activity-travel diary implemented on mobile phones to collect activities and travels as they are executed, and in-depth telephone interviews to in…
Improved Induction Tree Training for Automatic Lexical Categorization
2009
This paper studies a tuned version of an induction tree which is used for automatic detection of lexical word category. The database used to train the tree has several fields to describe Spanish words morpho-syntactically. All the processing is performed using only the information of the word and its actual sentence. It will be shown here that this kind of induction is good enough to perform the linguistic categorization.
Molecular Classification of Pesticides Including Persistent Organic Pollutants, Phenylurea and Sulphonylurea Herbicides
2014
Pesticide residues in wine were analyzed by liquid chromatography–tandem mass spectrometry. Retentions are modelled by structure–property relationships. Bioplastic evolution is an evolutionary perspective conjugating effect of acquired characters and evolutionary indeterminacy–morphological determination–natural selection principles; its application to design co-ordination index barely improves correlations. Fractal dimensions and partition coefficient differentiate pesticides. Classification algorithms are based on information entropy and its production. Pesticides allow a structural classification by nonplanarity, and number of O, S, N and Cl atoms and cycles; different behaviours depend …
Negative Party Identifications as Out-Group Perceptions in Multi-Party Systems How Do They Affect Vote Choice?
2015
Although negative party identification is part of the original party identification concept by Campbell et al., it has been rarely analyzed in empirical studies. Further, the few existing studies lack a coherent conceptualization of negative partisanship, and focus in their analyses almost exclusively on negative party evaluations. This paper clearly distinguishes between negative party identification and evaluation, conceptualizing both concepts coherently within the social identity framework. In addition, new insights are presented by conceptualizing and operationalizing negative party identifications as out-group perceptions of political parties (based on new German data from 2013). The …
Stochastic model predicts evolving preferences in the Iowa gambling task
2014
Learning under uncertainty is a common task that people face in their daily life. This process relies on the cognitive ability to adjust behavior to environmental demands. Although the biological underpinnings of those cognitive processes have been extensively studied, there has been little work in formal models seeking to capture the fundamental dynamic of learning under uncertainty. In the present work, we aimed to understand the basic cognitive mechanisms of outcome processing involved in decisions under uncertainty and to evaluate the relevance of previous experiences in enhancing learning processes within such uncertain context. We propose a formal model that emulates the behavior of p…
A Multiresolution Approach Based on MRF and Bak–Sneppen Models for Image Segmentation
2006
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the SA, the ICM provides reasonable segmentation and shows robust behavior in most of the cases. However, the ICM strongly depends on the initialization phase. In this paper, we combine Bak-Sneppen model and Markov Random Fields to define a new image segmentation approach. We introduce a multiresolution technique in order to speed up the segmentation process and to improve the restoration process. Image pixels are viewed as lattice species of Bak-Sneppen model. The a-posteriori probability corresponds to a local fitn…
A psychosocial reading of sport actors’ antisocial behaviours : the influence of identity processes
2021
This doctoral work is interested in stakeholder’s antisocial behaviors. This phenomenon is approached by means of the theories bound to the social categorization, and more precisely, the social identity approach and the conception of the social partitions. Following this theoretical development, two mainstudies were led, the second one drawing from the first. A third study was led to reinject the acquired knowledge in the field.The first study, articulating around five sub-studies, aimed at determining the content, the perceived causes, as well as the perceived consequences, of sport stakeholders’ antisocial behaviors. Regarding the content of antisocial behaviors, harm and disadvantage asp…
Distinguishing between two crus : as easy as picking the right side ? : Effect of expertise on conceptual and perceptual representations of Beaujolai…
2017
Expertise was studied in cognitive psychology in order to understand the psychological mechanisms and the abilities involved in various areas of expertise. In the wine field, the few studies conducted on expertise suggest that the knowledge representation of experts is organized around “prototypes” derived from wines of different colours or grape varieties. The general purpose of this thesis was to address 1) theoretical questions about knowledge representation of wines among experts and novices, and 2) wine industry questions about Beaujolais wine perceptions. To this end, the effect of expertise on knowledge representations of wines was evaluated by comparing the performance of three diff…
Distinguishing between two crus : as easy as picking the right side ? : Effect of expertise on conceptual and perceptual representations of Beaujolai…
2017
L’expertise a été étudiée en psychologie cognitive afin de comprendre les mécanismes psychologiques et les compétences intervenant dans différents domaines d’expertise. Dans le domaine du vin, les quelques études menées suggèrent que les experts organiseraient leurs connaissances autour de « prototypes » de couleur ou de cépage. L’objectif général de cette thèse visait à répondre aux questionnements théoriques concernant les représentations des vins d’experts et de novices, ainsi qu’aux questionnements de la filière concernant les perceptions des vins du Beaujolais. Pour cela, l’effet de l’expertise sur les représentations des vins a été évalué en comparant les performances de trois panels …