Results 221 to 230 of about 1,401,134 (269)

Categorical Data [PDF]

open access: possible, 2008
A very brief survey of regression for categorical data. Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies.
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Infant categorization

WIREs Cognitive Science, 2010
AbstractIn this article, we review the principal findings on infant categorization from the last 30 years. The review focuses on behaviorally based experiments with visual preference, habituation, object examining, sequential touching, and inductive generalization procedures. We propose that although this research has helped to elucidate the ‘what’ and
David H, Rakison, Yevdokiya, Yermolayeva
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Categorical perception

WIREs Cognitive Science, 2009
AbstractCategorical perception (CP) is the phenomenon by which the categories possessed by an observer influences the observers' perception. Experimentally, CP is revealed when an observer's ability to make perceptual discriminations between things is better when those things belong to different categories rather than the same category, controlling for
Goldstone, R.L., Hendrickson, A.T.
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Text categorization [PDF]

open access: possible, 2005
During the last 15 years, the production of documents in digital form has exploded, due to the increased availability of hardware and software tools for generating digital data (e.g., personal computers, digital cameras, word processors) and for digitizing data that had been originated in nondigital form (e.g., scanners, OCR software).
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Categorical counting

Behavioural Processes, 2010
Pigeons pecked on three keys, responses to one of which could be reinforced after a few pecks, to a second key after a somewhat larger number of pecks, and to a third key after the maximum pecking requirement. The values of the pecking requirements and the proportion of trials ending with reinforcement were varied.
J Gregor, Fetterman, P Richard, Killeen
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DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling

IEEE Transactions on Information Forensics and Security, 2019
Most existing Android malware detection and categorization techniques are static approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program behaviors, dynamic approaches are potentially more resilient against these attacks ...
Haipeng Cai   +3 more
semanticscholar   +1 more source

Categorical Fibrations

Canadian Mathematical Bulletin, 1967
If one considers the theories of Hurewicz, - Serre - or other fibrations in the categories of topological or pointed topological spaces, one can see that many of the fundamental theorems can be formulated and proven in the general case of categories for which certain functors and natural transformations are given.
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CATEGORICAL QUANTIFICATION

The Bulletin of Symbolic Logic
AbstractDue to Gödel’s incompleteness results, the categoricity of a sufficiently rich mathematical theory and the semantic completeness of its underlying logic are two mutually exclusive ideals. For first- and second-order logics we obtain one of them with the cost of losing the other. In addition, in both these logics the rules of deduction for their
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3D Object Representations for Fine-Grained Categorization

2013 IEEE International Conference on Computer Vision Workshops, 2013
J. Krause   +3 more
semanticscholar   +1 more source

Categorizing

2020
Abstract This chapter examines the psychological processes involved in stereotyping, or categorization. As the American psychologist Gordon Allport noted, the ability to categorize is critical to survival, helping people process information and respond in a timely way without reinventing the mental wheel.
openaire   +1 more source

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