Results 41 to 50 of about 1,516,973 (367)
Frontiers in Psychology, 2022 Infants are endowed with a proclivity to acquire language, whether it is presented in the auditory or visual modality. Moreover, in the first months of life, listening to language supports fundamental cognitive capacities, including infants’ facility to ...
Miriam A. Novack +2 more
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Predicting Category Intuitiveness With the Rational Model, the Simplicity Model, and the Generalized Context Model [PDF]
, 2009 Naïve observers typically perceive some groupings for a set of stimuli as more intuitive than others. The problem of predicting category intuitiveness has been historically considered the remit of models of unsupervised categorization.
Bailey, T. M., Pothos, E. M.
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Genre, Sexualité et Société, 2010 In recent years, a growing number of anthropologists challenged the analytical, reflexive, and identity dimensions of fieldwork. A primary issue concerning a polyphonic, categorical, and political vision of ethnographic texts is the interactional ...
Luca Greco
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Content-based book recommending using learning for text categorization [PDF]
Digital library, 1999 Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes.
R. Mooney, Loriene Roy
semanticscholar +1 more source
Sequence effects in categorization of simple perceptual stimuli [PDF]
, 2002 Categorization research typically assumes that the cognitive system has access to a (more or less noisy) representation of the absolute magnitudes of the properties of stimuli and that this information is used in reaching a categorization decision ...
Brown, G. D. A. +2 more
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Cognitive Relevance Transform for Population Re-Targeting
Sensors, 2020 This work examines the differences between a human and a machine in object recognition tasks. The machine is useful as much as the output classification labels are correct and match the dataset-provided labels.
Gregor Koporec +3 more
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Deep Pyramid Convolutional Neural Networks for Text Categorization
Annual Meeting of the Association for Computational Linguistics, 2017 This paper proposes a low-complexity word-level deep convolutional neural network (CNN) architecture for text categorization that can efficiently represent long-range associations in text.
Rie Johnson, Tong Zhang
semanticscholar +1 more source
A review of emotion sensing: categorization models and algorithms
Multimedia tools and applications, 2020 Sentiment analysis consists in the identification of the sentiment polarity associated with a target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes, while emotions provide a finer characterization of the sentiments ...
Zhaoxia Wang, Seng-Beng Ho, E. Cambria
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Using bag-of-concepts to improve the performance of support vector machines in text categorization [PDF]
, 2004 This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as
Cöster, Rickard, Sahlgren, Magnus
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‘Sensor’ship and Spatial Data Quality
Urban Planning, 2016 This article describes a Los Angeles-based website that collects volunteered geographic information (VGI) on outdoor advertising using the Google Street View interface. The Billboard Map website was designed to help the city regulate signage.
Elisabeth Sedano
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