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  1. Categorization is a foundation for processing, remembering and integrating new information.
  2. Categorization is a problem that cognitive psychologists have dealt with for many years [2][8].
  3. Categorization is a useful tool to group articles for ease of navigation, and correlating similar information. (Web site)
  4. Categorization is one of the most fundamental operations of the mind that underlies human understanding. (Web site)
  5. Categorization is the primary means of coding experience, underlying not only perceptual and reasoning processes, but also inductive inference and language.


  1. Categories are displayed in a table (see picture 10).
  2. Categories are the beginning of concept formation. (Web site)
  3. The categories were designed so that the two groups would learn different concepts using the same learned features.
  4. Categories are but a specific case of pattern formation, but they also are the foundation of cognitive development.
  5. Categories are formed and evaluated according to rules (constraints, biases, etc.). (Web site)

Cognitive Psychology

  1. Cognitive psychology is a branch of psychology that examines internal mental processes such as problem solving, memory, and language.
  2. Cognitive psychology is based on the premise that our thinking and emotions affect our behavior, and vice versa. (Web site)
  3. Cognitive psychology is the branch of psychology concerned with the acquisition, processing, and storing of information.
  4. Cognitive psychology is the psychological science which studies cognition, the mental processes that are hypothesised to underlie behavior. (Web site)
  5. Cognitive psychology is the psychological science which studies cognition, the mental processes that are hypothesised to underlie behaviour.


  1. Thinking is a higher cognitive function and the analysis of thinking processes is part of cognitive psychology.
  2. Thinking is the conscious working of our brain. (Web site)
  3. Thinking is one of the great pleasures of being human and despite the fears of some futurists it won---t be usurped by computers.

Cognitive Psychologists

  1. One of the reasons why Gestalt laws have often been disregarded by cognitive psychologists is a lack of understanding the nature of peripheral vision.
  2. There is of course no question that cognitive psychologists are limited--in the same sense that behaviorists are limited. (Web site)
  3. In response to the arguments of behaviorism, psychodynamic, social, and cognitive psychologists have all voiced their opposition to the behaviorist theory. (Web site)

Text Categorization

  1. Text categorization is a boiling down of the specific content of a document into one (or more) of a set of pre-defined labels. (Web site)
  2. Text categorization is a fundamental task in document processing, allowing the automated handling of enormous streams of documents in electronic form.
  3. Text categorization is a machine-learning approach, in which information retrieval methods are also applied. (Web site)
  4. Text categorization is an interesting area for evaluating and quantifying the impact of linguistic information.
  5. Text categorization is the automated assignment of natural language texts to predefined categories based on their content. (Web site)

Categorization Choices

  1. Thematic and taxonomic relations in preschoolers: The development of flexibility in categorization choices.
  2. The dynamics of preschoolers' categorization choices.
  3. The effects of task comprehension on preschoolers' and adults' categorization choices.
  4. Blaye, A., & Bonthoux, F. (2001). Thematic and taxonomic relations in preschoolers : The development of flexibility of categorization choices.

Categorization Judgments

  1. Some research does suggest that children are inflexible in their categorization judgments. (Web site)
  2. Conveying Shape with Texture: an experimental investigation of the impact of texture type on shape categorization judgments. (Web site)
  3. Very little has been done to investigate whether perceptual fluency could play a role in categorization judgments.

Categorization Schemes

  1. The disadvantage of this approach is that developers cannot take advantage of hierarchical categorization schemes.
  2. Multiple categorization schemes co-exist simultaneously.
  3. The ability to supplement UDDI Services entries with strongly typed metadata from known categorization schemes is a key benefit of using UDDI Services.
  4. For example, tModel entities that represent categorization schemes appear in the UDDI Services user interface.
  5. I agree that intersecting the two categorization schemes is a good idea, but think it probably needs to wait until many more articles have been assessed.

Category Description

  1. Category Description Notes accessibility Ports to help disabled users. (Web site)
  2. The category description has a limit of 255 characters which should be plenty.

Category Scheme

  1. The category scheme is a dictionary which encodes in a condensed form significant vocabulary statistics for each category.
  2. A category scheme is a way to index Atkinspedia articles.

Classification System

  1. Patents are arranged according to the Patent and Trademark Office classification system of over 400 classes and over 120,000 subclasses.
  2. Expanding on Sir Galton---s classification system, Sir Henry developed the Henry Classification System between the years1896 to 1897.
  3. From OCLC, history, benefits, features, and recent enhancements to the Dewey Decimal Classification System. (Web site)


  1. Organizing is a long-term approach in which the people affected by a problem identify issues and take action to achieve solutions. (Web site)
  2. Organizing is a matter of personal taste and doing it one way does not make another way incorrect or wrong. (Web site)

Concept Formation

  1. Concept formation is a cognitive aspect of learning in that it involves a defined type of abstraction from learned example stimuli. (Web site)
  2. Concept formation is a machine-learning based approach to cluster analysis of symbolic data.
  3. Concept formation is a multi-stage process.
  4. Concept formation is one of the basic terms in the theory of cognitive development of Jean Piaget. (Web site)
  5. Concept formation is the process by which we learn to form classes of things, event, people, and so forth. (Web site)

Conceptual Clustering

  1. Conceptual clustering is a form of unsupervised learning (a.k.a. (Web site)
  2. Conceptual clustering is a machine learning paradigm for unsupervised classification developed mainly during the 1980's.
  3. Conceptual clustering is a modern variation of the classical approach, and derives from attempts to explain how knowledge is represented. (Web site)
  4. Conceptual clustering is an important way of summarizing and explaining data.

Similarity Judgments

  1. Results are discussed in terms of the differences between requirements of categorization and similarity judgments. (Web site)
  2. Participants categorized stimuli on the basis of a necessary feature, whereas their similarity judgments relied on characteristic features. (Web site)
  3. Thus, in Experiment 1, subjects categorized objects either without any prior experience or after 1h of similarity judgments. (Web site)
  4. Similarity judgments are particularly prone to strategic cognitive processing of this sort (Goldstone, 1994-b). (Web site)


  1. Similarity is a core element in achieving an understanding of variables that motivate behavior and mediate affect. (Web site)
  2. Similarity is a function of the sum of the distances between the object and all the exemplars in the particular category.
  3. Similarity is a powerful grouping concept and as such can contribute significantly towards achieving unity. (Web site)
  4. Similarity was assumed to increase as a function of participants' percentage of incorrect responses that two displays contained identical butterflies. (Web site)
  5. Similarity is defined as the Euclidean distance between normalized points.

Subject Descriptors

  1. The EconLit subject descriptors can be helpful in narrowing a search to a specific subject area of economics.
  2. These broad subject descriptors are used in matching article profiles with users' profiles in a routing task. (Web site)
  3. One text has been bibliographic records trimmed to title and abstract, while the other text has been topical subject descriptors. (Web site)
  4. Subject descriptors are thus a permanent part of the tree.


  1. Subcategories are areas of interest that fall under one or more of the Primary Categories (see above).
  2. Subcategories are displayed above articles, both groups sorted alphabetically.

Sub-Category Name

  1. This pane also enables you to edit or delete a category or sub-category name.
  2. You can edit the details of a category or a sub-category whenever you need to give a new category or sub-category name to a group of products.

Parent Category

  1. Parent category is a drop-down list which allows you to choose a parent category for a new category.
  2. A parent category is a category that will appear at the top most level in your web site.
  3. The parent category is a direct pathway to permanent residence.


  1. A taxonomy is a classification system that allows you to distinguish concepts, name concepts and put those concepts in order. (Web site)
  2. A taxonomy is a collection of controlled vocabulary terms organized into a hierarchical structure. (Web site)
  3. A taxonomy is a collection of terms organized in a hierarchical structure. (Web site)
  4. A taxonomy is a controlled vocabulary consisting of preferred terms, all of which are connected in a hierarchy or polyhierarchy. (Web site)
  5. A taxonomy is a form of classification scheme.


  1. A category is a ReverseIndex to related Wiki pages. (Web site)
  2. A category is called conormal if every epimorphism is normal (e.g.
  3. A category is called normal if every monomorphism is normal.
  4. The category was constructed, it is an artifact. (Web site)
  5. To be consistent with the C2 category scheme, all categories start with the word "Category".


  1. Classification is the taxonomic science in which a system of categories or attributes is established in a logical structure (Travers, 1980). (Web site)
  2. Classification is a part of the science of taxonomy. (Web site)
  3. Classification is a very broad term which simply means putting things in classes.
  4. Classification is an important problem in the emerging field of data mining.
  5. Classification is the process of determining that a record belongs to a group. (Web site)

Conceptual Combination

  1. Hampton, J.A. (1997). Conceptual combination: conjunction and negation of natural concepts. (Web site)
  2. Wisniewski, E.J. & Markman, A.B. (1993). The role of structural alignment in conceptual combination.
  3. Ward, T. B. (2001). Creative cognition, conceptual combination and the creative writing of Stephen R. Donaldson. (Web site)

Object Recognition

  1. Object recognition is a crucial part of the sensing challenge and machine learning stands in a position to catapult object in to real world domains.
  2. Object recognition is a key part of machine vision with far reaching benefits ranging from target recognition, surveillance systems, to automation systems.
  3. Object recognition is a huge area of research within image processing and computer vision.
  4. Object recognition is a fundamental cognitive task that we perform countless times every day. (Web site)
  5. Object recognition is a classic problem in computer vision, which has been popular in the community for the last thirty years. (Web site)

Data Clustering

  1. Data clustering is a method in which we make cluster of objects that are somehow similar in characteristics. (Web site)
  2. Data clustering is a technique for grouping similar data items together for convenient understanding.
  3. Data clustering is a good benchmark problem for testing the performance of many combinatory optimization methods.
  4. Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. (Web site)
  5. Data clustering is a very powerful technique in many application areas. (Web site)

Hierarchical Structure

  1. Hierarchical structure is a consequence of complexity.

Large-Scale Text Categorization

  1. Large-scale text categorization is an important research topic for Web data mining. (Web site)

Genre Categorization

  1. An analysis of genre categorization as applied to video games in contrast with books and film, with definitions and examples.
  2. Genre categorization for audio has traditionally been performed manually.

Visual Categorization

  1. Links Visual categorization and the primate prefrontal cortex: neurophysiology and behavior. (Web site)
  2. Sigala, N., Gabbiani, F., & Logothetis, N.K. (2002). Visual categorization and object representation in monkeys and humans. (Web site)
  3. Maddox, W.T., Diehl, R.L., & Molis, M.R. (2001) Generalizing a neuropsychological model of visual categorization to auditory categorization of vowels.

Parent Category Name

  1. Subcategories may be created by putting [[Category: parent category name]] onto the page that you would like to make into a subcategory.
  2. To make a category into a subcategory, add [[Category: parent category name]] to it, e.g. (Web site)

Knowledge Structures

  1. Topic maps are a new ISO standard for describing knowledge structures and associating them with information resources. (Web site)
  2. To understand really new products, consumers face the challenge of constructing new knowledge structures rather simply changing existing ones. (Web site)
  3. Many researchers have been using the concept of "typicality" to explain the influence of knowledge structures on processing visual stimuli.

Hierarchical Text Categorization

  1. We view this task as a hierarchical text categorization problem with Gene Ontology as a class hierarchy.
  2. On the other hand, hierarchical text categorization is a recently emerged topic of text mining.
  3. Hierarchical text categorization using fuzzy relational thesaurus.


  1. A thesaurus is a networked collection of controlled vocabulary terms.
  2. Thesaurus: a structured list of approved subject headings (preferred terms) showing the relationships between them.

Thematic Relations

  1. Krifka, M. 1992. Thematic relations as links between nominal reference and temporal constitution.
  2. For children most sensitive to thematic relations, no difference between domains was obtained. (Web site)
  3. More specifically, some children exhibited a greater sensitivity for either taxonomic or thematic relations. (Web site)
  4. In linguistics, thematic relations express the meaning that a Noun phrase plays with respect to the action or state described by a sentence's verb. (Web site)
  5. Theta roles are a syntactic relation that refers to the semantic thematic relations. (Web site)

Visual Thinking

  1. Visual thinking is part of a larger concept that has been defined as visual literacy (Dondis, 1973).
  2. Visual thinking is a great asset in my career as a livestock equipment designer, and I have become internationally recognized in this field.
  3. Visual thinking is only one of five recognized learning styles, including visual, logical, verbal, physical (kinesthetic) and aural (musical)[7]. (Web site)
  4. Visual Thinking is a book made for teachers who want to help their students use images and words to record ideas in a creative and memorable way. (Web site)
  5. Visual Thinking is a name applied to the use of visual aids in thinking processes. (Web site)


  1. The algorithms are usually evaluated by empirical testing.
  2. The algorithms are based on k-means clustering and hill climbing, and each are scalable in the degree of decentralization. (Web site)
  3. Algorithms are essential to the way computers process information. (Web site)
  4. Algorithms are systematic procedures for solving problems by evaluating all possible solutions until the correct one is found. (Web site)
  5. The algorithms are each based on the minimization of a cost function which is performed using an EM algorithm and deterministic annealing.


  1. Attention is a concept studied in cognitive psychology which refers to how we actively process specific information present in our environment.
  2. Attention is a key analytic mechanism in parsing experience into the schematic components that ultimately form concepts.
  3. Attention is one of the most intensely studied topics within psychology and cognitive neuroscience.
  4. Attention is the cognitive process of selectively concentrating on one thing while ignoring other things.


  1. Classifiers are functions that use pattern matching to determine a closest match. (Web site)
  2. Classifiers are made by learning or training algorithms through the pre-labeled documents. (Web site)
  3. Classifiers are made by learning or training algorithms through the pre-labeled documents. (Web site)

Decision Trees

  1. Decision trees are an example of purely hierarchical memory organization.
  2. Decision trees are easy to understand. (Web site)
  3. Decision trees are one specific decision analysis technique and we will illustrate the technique by use of an example.


  1. A cluster is an ordered list of objects, which have some common characteristics. (Web site)
  2. Cluster: An unsupervised algorithm for modeling gaussian mixtures.


  1. Cognition is simply the process of maintaining itself by acting in the environment. (Web site)
  2. Cognition is a purely biological phenomenon. (Web site)
  3. Cognition is an emergent structure, situated and embodied, just like any other skill.
  4. Cognition is the process of environmental information collection, given context-specific individual, social, and ecological interactions. (Web site)
  5. Cognition is the set of faculties that allow the mind to process stimuli from the external world and to determine action in the external world. (Web site)

Computer Vision

  1. Computer Vision: a modern approach. (Web site)
  2. Computer vision is a branch of artificial intelligence concerned with endowing machines with the ability to understand images.
  3. Computer vision is an interdisciplinary field related to, e.g., artificial intelligence, machine learning, robotics, signal processing and geometry.
  4. Computer vision is the ability to analyze visual input. (Web site)

New Category Name

  1. Upon completion of the review, the result, which may be a new category name or the same, is returned to the requestor, block 232.
  2. If the review result is a new category name being returned, the new category name is also provided to master category name database 110, block 234.
  3. If your port truly belongs to something that is different from all the existing ones, you can even create a new category name. (Web site)
  4. Pages that belong in the category will now show up here automatically when you tag them with the category [[category:new category name]].

Problem Solving

  1. Problem solving is a process involving the coordination of knowledge, experience, attitude, intuition, and abilities. (Web site)
  2. Problem solving is a natural skill that we use throughout our development.
  3. Problem Solving is a mathematical process.
  4. Problem solving is a complex process. (Web site)
  5. Problem solving is a major component of many "physical science" courses.

Clustering Methods

  1. Figure 1 presents examples of the distributions of the clustered haplotypes of T[best] in the two clustering methods. (Web site)
  2. A potential limitation of many existing clustering methods is that they do not allow the clustering to adapt to the position of the underlying trait locus. (Web site)
  3. The agglomerative clustering methods start by regarding these as n separate clusters of size 1.

Cognitive Development

  1. Cognitive development is a child's increasing skill at thinking, learning, reasoning, and remembering.
  2. Cognitive development is a child's increasing skill at thinking, learning, reasoning, and remembering.


  1. Concepts are represented by collections of features. (Web site)
  2. Concepts are represented as points within the space. (Web site)
  3. Concepts are these organizing principles of mind and categories are the most fundamental concepts. (Web site)
  4. Concepts are amodal. (Web site)
  5. Concepts are constantly in the process of construction. (Web site)


  1. Conceptualization is a single process resulting in a concept.
  2. A conceptualization is an abstract, simplified view of the world that we wish to represent for some purpose. (Web site)


  1. Induction is a deep synthesis of epistemology, evolution and computation.
  2. Induction is a form of reasoning that makes generalizations based on individual instances.
  3. Induction is a group process visited on the individual in an effort to facilitate the process of 'they' becoming part of 'we'.
  4. Induction is a method for proving an infinite sequence of statements.
  5. Induction is a method of proof that is very useful in mathematics. (Web site)


  1. Learning is something external to the learner. (Web site)
  2. Machine learning, Bayesian learning, data-driven inference, signal and image processing, bioinformatics, computational and mathematical biology.
  3. I'm the author or co-author of over 150 technical publications in machine learning, data mining, and other areas. (Web site)
  4. Learning is a much more difficult proposition. (Web site)
  5. Learning is a natural ability, but learning in school is another matter.

Learning Algorithm

  1. YamCha is using a state-of-the-art machine learning algorithm called Support Vector Machines (SVMs), first introduced by Vapnik in 1995. (Web site)
  2. HYDRA: A noise-tolerant relational aimy fisher tape concept learning algorithm.
  3. For example, Apte, Damerau, and Weiss [1] applied an inductive rule learning algorithm, SWAP1, to the text categorization problem.
  4. A learning algorithm is a function that takes a set of strings and returns a regular language . (Web site)
  5. The learning algorithm is the same across all neurons, therefore everything that follows is applied to a single neuron in isolation.

Living Things

  1. Living Things are a band of fighters determined to make us all feel like winners.
  2. Living Things is a comprehensive topic with many sub-topics. (Web site)
  3. Living things are made of cells.
  4. Living things is a stage 4 Science topic.
  5. Living things were rated as perceptually more similar than nonliving things, and so shared more activation values between their category members.

Machine Learning

  1. Machine Learning is a foundational discipline of the Information Sciences.
  2. Machine Learning is an international forum for research on computational approaches to learning. (Web site)
  3. Machine Learning is the study of computer algorithms that improve automatically through experience. (Web site)
  4. Machine learning is an area of artificial intelligence concerned with the development of techniques which allow computers to "learn".
  5. Machine learning is generally used to help with data mining and statistical analysis. (Web site)

Non-Living Things

  1. Note that the word "grow" refers also to non-living things which can get larger. (Web site)
  2. On the contrary, a greater sensitivity to thematic relations should facilitate the categorization of non-living things. (Web site)
  3. Ten targets were living things and ten were non-living things. (Web site)
  4. Non-living things can be divided into two groups. (Web site)
  5. We found that functional information plays an important role in determining naming performance on both living and non-living things. (Web site)


  1. Perception is a result of the cognitive process.
  2. Perception is one of the oldest fields within scientific psychology, and there are correspondingly many theories about its underlying processes.
  3. Perception is a central issue in epistemology, the theory of knowledge. (Web site)
  4. Perception is a process which has 5 components, numbered 0 through 4. (Web site)
  5. Perception is a result, and not a cause.

Picture Thinking

  1. The book The Gift of Dyslexia by Ronald D. Davis and Eldon M.Braun describes the relationship of picture thinking to dyslexia. (Web site)
  2. Picture thinking could be called "non-linguistic thinking," and people who do such information processing could be called "visual thinkers".
  3. Researchers there have developed a method of detecting picture thinking in young children by using the so called "the world game" ( het wereldspel). (Web site)
  4. Nikola Tesla - discusses in depth picture thinking ( Asperger's Syndrome) in his seminal document The Problem of Increasing Human Energy .


  1. Planning is a complex reasoning task that is well suited for the study of improving performance and knowledge by learning, i.e.
  2. Planning is one of the most important and oldest fields of AI. However, there is no consensus on how to compare and classify planning systems and methods.
  3. Planning is a complex reasoning task that is well suited for the study of improving performance and knowledge by learning, i.e.
  4. Planning is a notoriously hard combinatorial search problem.
  5. Planning is one of the most important and oldest fields of AI. However, there is no consensus on how to compare and classify planning systems and methods.


  1. Culture > Languages > Language > Glossaries
  2. Science > Biology > En > T > A > X > Taxonomy" > Taxonomy< > A > > Cladistics. / (Web site)
  3. Science > Social Sciences > Psychology > Cognitive > People. (Web site)
  4. Science > Social Sciences > Psychology > Social > People. (Web site)
  5. Science > Social Sciences > Psychology > Research Methods > Software > Presentation. (Web site)

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