University of Illinois Urbana-Champaign
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194
Jan 16, 2012
01/12
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Viswanathan, Madhubalan; Childers, Terry L; University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research
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Bibliography: p. [29-32]
Topics: Categorization, Marketing
Duke University Libraries
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207
May 16, 2016
05/16
by
Evans, Nancy Jean, 1953-; Duke University. Psychology Department
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Typescript
Topic: Categorization (Psychology)
Click here to view the University of Florida catalog record
Topics: Categorization (Psychology), Consumers
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7.0
May 26, 2021
05/21
by
McGarty, Craig
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xiv, 293 p. : 25 cm
Topics: Categorization (Psychology), Social perception
Lee Hazelwood's discography.
Topics: hazelwood, eddy, sinatra, beyond categorization
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6.0
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x, 317 p. : 25 cm
Topics: Categorization (Psychology), Environmental psychology, Cognition
The data mining is the technique to analyze the complex data. The prediction analysis is the technique which is applied to predict the data according to the input dataset. In the recent times, various techniques have been applied for the prediction analysis. In this paper, k-mean and SVM classifier based prediction analysis technique is improved to increase accuracy and execution time. In the prediction analysis based technique, k-mean clustering algorithm is used to categorize the data and SVM...
Topics: K-mean, SVM, Prediction, Categorization, Classification.
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275
May 21, 2012
05/12
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Jackendoff, Ray S
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Includes index
Topics: Semantics, Cognition, Categorization (Psychology), Meaning (Psychology)
The data mining is the technique to analyze the complex data. The prediction analysis is the technique which is applied to predict the data according to the input dataset. In the recent times, various techniques have been applied for the prediction analysis. In this paper, k-mean and SVM classifier based prediction analysis technique is improved to increase accuracy and execution time. In the prediction analysis based technique, k-mean clustering algorithm is used to categorize the data and SVM...
Topics: K-mean, SVM, Prediction, Categorization, Classification.
International Journal of Innovative Technology and Creative Engineering (ISSN:2045-8711) vol6no0401
Topics: Text Categorization, DM, NN, RD, BP, RBF
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131
Dec 2, 2011
12/11
by
Eviatar Zerubavel
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Topics: Categorization (Psychology), Boundaries -- Psychological aspects., Social perception.
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xiii, 464 p. : 23 cm
Topics: Mental representation, Categorization (Psychology), Thought and thinking
Citation : Chicago Academy of Sciences. (1883). Bulletin of the Chicago Academy of Sciences 1 (3). Chicago, IL: Chicago Academy of Sciences. Articles in this issue : List of Batrachia and Reptilia of Illinois (Davis Jr. N. S. and F. L. Rice)
Topics: herpetology, Batrachia, Reptilia, list, categorization, inventory, species
xvi, 158 leaves ; 29 cm
Topics: Categorization (Psychology), Concept learning, Transfer of training
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Mar 17, 2021
03/21
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R. Deebalakshmi, V.L. Jyothi
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The Internet itself is a worldwide network connecting millions of computers and less significant networks. Computers communicated by routers. Crucial the role of a router is to our technique of communicating and computing. Routers are situated at gateways, the spaces where two or more networks connect, and are the decisive device that keeps data flow between networks and keeps the networks connected to the Internet. When data is sent between places on one network or from one network to a second...
Topics: Flow categorization, Network operations, Neural network applications, Routing
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0.0
May 21, 2022
05/22
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Jayyusi, Lena
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x, 275 p. ; 23 cm
Topics: Social ethics, Social interaction, Categorization (Psychology), Analysis (Philosophy)
In recent years, Text Mining wasan important topic because of the growth of digital text data from many sources such as government document, Email, Social Media, Website, etc. The English poemsare one of the text data to categorization English Poems will use Text categorization, Text categorization is a method in which classify documents into one or more categories that were predefined the category based on the text content in a document .In this paper we will solve the problem of how to...
Topics: Poem categorization, Poems, Rough set theory, Text mining
Switchgear is a very important component in a power distribution line. Failure in switchgear can lead to catastrophic danger and losses. In this research, a fault detection system is proposed with the implementation of Extreme Learning Machine (ELM). This algorithm is capable to identify faults in switchgear by analyzing the sound wave generated. Experiments are carried out to investigate the performance of the developed algorithm in identifying Corona faults in switchgears. The performances...
Topics: Categorization, Corona discharge, Extreme learning machine, Switchgear faults
Switchgear is a very important component in a power distribution line. Failure in switchgear can lead to catastrophic danger and losses. In this research, a fault detection system is proposed with the implementation of Extreme Learning Machine (ELM). This algorithm is capable to identify faults in switchgear by analyzing the sound wave generated. Experiments are carried out to investigate the performance of the developed algorithm in identifying Corona faults in switchgears. The performances...
Topics: Categorization, Corona discharge, Extreme learning machine, Switchgear faults
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-1679
Topics: categorization, stimuli, stimulus, class, morph, units, categorical, category, object, cbf, class...
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Jan 18, 2022
01/22
by
Taylor, John R., 1944-
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xv, 308 p. : 23 cm
Topics: Categorization (Linguistics), Linguistic analysis (Linguistics), Cognitive grammar, Semantics
The data mining is the technique to analyze the complex data. The prediction analysis is the technique which is applied to predict the data according to the input dataset. In the recent times, various techniques have been applied for the prediction analysis. In this paper, k-mean and SVM classifier based prediction analysis technique is improved to increase accuracy and execution time. In the prediction analysis based technique, k-mean clustering algorithm is used to categorize the data and SVM...
Topics: K-mean, SVM, Prediction, Categorization, Classification., Computer Engineering
With the explosive growth of international users, distributed information and the number of linguistic resources, accessible throughout the World Wide Web, information retrieval has become crucial for users to find, retrieve and understand relevant information, in any language and form. Cross- Language Information Retrieval (CLIR) is a subfield of Information Retrieval which provides a query in one language and searches document collections in one or many languages but it also has a specific...
Topics: Cross Lingual Information Retrieval, Heuristic Method, Text Categorization
[viii], 115 leaves : 29 cm
Topics: Cognition -- Testing, Categorization (Psychology), Intellect, Learning, Psychology of
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511
Dec 13, 2011
12/11
by
George Lakoff
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Topics: Psycholinguistics, Categorization (Psychology), Cognition, Thought and thinking, Reason
xv, 170 leaves ; 29 cm
Topics: Reading comprehension, Reading (Elementary), Thought and thinking, Categorization (Psychology)
International Journal of Innovative Technology and Creative Engineering (ISSN:2045-8711)
Topics: Text Categorization, sliding window, data stream, text mining, clustering
The application of radioisotopes in medicine, industry, agriculture and research is the major activities that belong to the nuclear and radiological industries in Egypt. From a radiation safety and security of the sources standpoint, accident investigation is necessary to determine what happened, why, when and how it occurred and who were involved and be responsible. This paper aims to statistical evaluation of the reported accidents at “USIE” which is an “IAEA” web portal for contact...
Topics: Risk Assessment, Accident’s Root Causes, Emergency, INES Rate, Categorization
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May 18, 2021
05/21
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Haidar J. Mohamad, Seham A. Hashim, Anwar H. Al-Saleh
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The task of recognizing the shape of Arabic letters using modified algorithms discussed in this paper. The difficulty of recognizing these letters is summarized in the shape of the Arabic letter within a word from a large set of letters has a similar shape. Moreover, the shape of the letter is different depending on its position begin, middle, end within a word. Therefore, it is necessary to introduce new geometric features to categorize each letter. The suggested algorithm with 19 features is...
Topics: Arabic letter, Evaluation of classification, Feature extraction, Image categorization
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Jan 1, 2018
01/18
by
AD Publications
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— Software has always been vulnerable to various vulnerably issues. Increasing the number of vulnerabilities and their complexity in the software area has made it more important to categorize them. In this research work, by selecting the MoSCoW prioritization method and by combining it with the SOM self-organizing mapping algorithm, we present a new categorization for the frequent software vulnerabilities. We implemented the proposed method in MATLAB using the relevant tool boxes. The...
Topics: Overlapping, Overlapping Self-Organizing Map, Software Vulnerability, Vulnerability Categorization
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Feb 5, 2021
02/21
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International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)
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The article discusses the prototypical categorization as linguocognitive form of the flexible rationality. Flexible rationality reveals the correlation of the rational and irrational in cognition. The embodiment form of the flexible linguistic consciousness is a concept as a category protoform. The process of formation of the conception from the concept is a prototypical categorization. Serving as the cognitive “tool”, prototypical categorization as a linguistic structure demonstrates the...
Topics: Rationality, Cognizing subject, Flexible rationality, Concept, Category, Protoform, Prototypical...
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4.0
Aug 5, 2021
08/21
by
Clayton, Dan
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48 pages : 30 cm
Topics: English language, English language -- Problems, exercises, etc, Categorization (Linguistics)
xvii, 309 leaves : 29 cm
Topics: Piaget, Jean, 1896-1980, Reading comprehension, Categorization (Psychology), Reading (Elementary)
The present time has witnessed a diverse and multi generational workforce which more often than not proves to be a source of stress and conflict for many individuals, ultimately resulting in counter productive behaviors at work. This problem became the thrusting force to understand diverse, multi generational surroundings for better communication, collaboration and coordination. However, the first challenge in doing so is to define and classify generational cohorts, which requires examination...
Topics: Psychology, Generational Cohorts, Categorization, Baby Boomers, Gen X, Gen Y
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Aug 28, 2014
08/14
by
Gelman, Susan A; Keil, Frank C., 1952-
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Includes bibliographical references
Topics: Categorization (Psychology) in children, Mother and child, Cognition in children
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x, 599 pages : 24 cm
Topics: Categorization (Psychology), Perception, Soziale Wahrnehmung, Waarneming, Classificatie, COGNITION,...
Categorisation of cultivable land utilization is a key element for the monitoring and estimation of crop producing area as well as to establish a programme of cropland management. Such categorisation can be done either in temporal span or in spatial difference. In this study attention is focused on assessing the prevailing difference in cultivable land utilization with respect to different seasons. The object oriented general classification of satellite data only leads to common information on...
Topics: Classification, Categorization, Specified Classification, Seasonal Variation, Land Utilization...
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3.0
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viii, 293 p. : 23 cm
Topics: Human information processing, Categorization (Psychology), Visual perception, Recollection...
xiii, 146 leaves ; 29 cm
Topics: Social perception -- Effect of abstraction on, Concepts, Categorization (Psychology), Abstraction
[ix], 134 leaves : 29 cm
Topics: Psycholinguistics, Categorization (Psychology) -- Testing, Language awareness in children,...
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Sep 26, 2020
09/20
by
Pylyshyn, Zenon W., 1937-
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xviii, 563 p. : 24 cm
Topics: Visual perception, Visualization, Mental representation, Recognition (Psychology), Categorization...
xvi, 264 leaves ; 29 cm
Topics: Memory in children, Learning, Psychology of, Learning disabled children, Categorization (Psychology)
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May 25, 2019
05/19
by
Washburn, Dorothy Koster
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xi, 157 p. : 26 cm
Topics: Categorization (Psychology), Kuba (African people) -- Material culture, Pattern perception, Textile...
Fine-grained visual categorization (FGVC) dealt with objects belonging to one class with intra-class differences into subclasses. FGVC is challenging due to the fact that it is very difficult to collect enough training samples. This study presents a novel image dataset named Cowbreefor FGVC. Cowbree dataset contains 4000 images belongs to eight different cow breeds. Images are properly categorized under different breed names (labels) based on different texture and color features with the help...
Topics: Cowbree, Fined-grained visual categorization, J48, Multiclass, SMO, WEKA image filter package
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x, 317 pages : 25 cm
Topics: Categorization (Psychology) -- Congresses, Environmental psychology -- Congresses, Cognition --...
International Journal of Innovative Technology and Creative Engineering (ISSN:2045-8711)
Topics: Text Categorization, Support Vector Machine, Neural Networks, Part of Speech, BP, RBF, NN
International Journal of Innovative Technology and Creative Engineering (ISSN:2045-8711) vol6no0501
Topics: Text Categorization, Support Vector Machine, Neural Networks, Part of Speech, BP, RBF, NN.
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-1391
Topics: prototype, rodel, inage, obj, object, rodels, objects, schem, ect, categorization, obj ect, obj...
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AITR-1001
Topics: categorization, categories, objects, category, natural, object, observer, uncertainty, properties,...
d investigated its application upon categorizing emails. The categorization approach is derived from an instanced-based learning method that explores conditional probabilities of particular words. The effectiveness of the author's categorization approach using collections from a set of emails is then evaluated and assigned a numerical score based upon precision and recall. Precision was 65% while recall was 17%. The author's experiments indicated automatic categorization of incoming emails at...
Topics: Electronic mail messages, Java (Computer program language), Text categorization, Automatic...
