• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
S04601119125
S04601119125

... detected, recognized and pre-processing the hand gestures by using General Method of recognition. Then We have found the recognized image’s properties and using this, mouse movement, click and VLC Media player controlling are done. After that we have done all these functions thing using neural netwo ...
the application of artificial intelligence methods in heat - QRC
the application of artificial intelligence methods in heat - QRC

... the optimum learning dataset size, and also such dataset that would contain the most representative data, in order to be able to successfully predict properties of similar steels. The learning datasets should be as wide as possible, and should contain enough different steel types. It would also be i ...
View Sample PDF
View Sample PDF

... grid-based methods, and model-based methods; however partitioning methods and hierarchical methods are particularly susceptible. Selectivity to cluster shapes - partitioning methods, hierarchical methods, and grid-based methods are not suitable for all types of data distribution, and cannot handle n ...
External Memory Value Iteration
External Memory Value Iteration

Data sheets of Screen Grid Power Supply (SGPS)
Data sheets of Screen Grid Power Supply (SGPS)

M.S. in Biostatistics suggested course sequence
M.S. in Biostatistics suggested course sequence

... M.S. in Biostatistics suggested course sequence 1st YEAR ...
application of an expert system for assessment of the short time
application of an expert system for assessment of the short time

... layer.  The network propagates the input pattern from layer to layer until the output pattern is generated by the output layer.  Activation function generally sigmoid  If this pattern is different from the desired output, an error is calculated and then propagated backwards through the network fr ...
Medical statistics
Medical statistics

Neural Networks
Neural Networks

Assignments
Assignments

PPT - Michael J. Watts
PPT - Michael J. Watts

... • Adds an additional layer (or layers) of neurons to a perceptron • Additional layer called hidden (or intermediate) layer • Additional layer of adjustable connections ...
Structuring E-Commerce Inventory
Structuring E-Commerce Inventory

Ambiguity Resolution for Vt-N Structures in Chinese
Ambiguity Resolution for Vt-N Structures in Chinese

... “遍佈/all over 世界/world ” was included in the short sentence “遍佈/all over 世界/world 各國 /countries”, it would be an independent structure. A conjunctive head-head relation between a verb and a noun is rare. However, in the sentence “服 務 設備 都 甚 周到” (Both service and equipment are very thoughtful.), there ...
Outlook on Artificial Intelligence in the Enterprise 2016
Outlook on Artificial Intelligence in the Enterprise 2016

Databases Illuminated
Databases Illuminated

... – Hardware advances - parallel machines, cheaper and faster data storage devices, better data communications technology – Data mining - developing new information by searching large amounts of data to identify patterns, trends, and anomalies - allows more sophisticated analysis and modeling – Large ...
Unsupervised Learning
Unsupervised Learning

Information Extraction
Information Extraction

Introduction Computing shear wave velocity models for the near-surface is one...
Introduction Computing shear wave velocity models for the near-surface is one...

... V1 cos(θ1 ) V0 cos(θ − φ ) V1 cos(θ1 ) where V1 , Z1 and θ1 , are the velocity, depth and propagation angle in the underlying medium and V0 , Z0 and θ are the parameters that control the propagation in the near-surface. The first term in equation 1 represents the traveltime from the reflector to the ...
Introduction to Hybrid Systems – Part 1
Introduction to Hybrid Systems – Part 1

Outlook on Artificial Intelligence in the Enterprise 2016
Outlook on Artificial Intelligence in the Enterprise 2016

... language generation and social intelligence solutions, ...
Combining Classifiers: from the creation of ensembles - ICMC
Combining Classifiers: from the creation of ensembles - ICMC

... problems, managing weaknesses and strenghts of each model in order to give the best possible decision taking into account all the ensemble. The use of combination of multiple classifiers was demonstrated to be effective, under some conditions, for several pattern recognition applications. Good and b ...
Document
Document

... I want everyone to share the balls equally. How can we take some balls from one child and share them with each other so we all have the same amount? I could have the child who has 8 balls give 1 to each child with 3 balls and give 2 to the child with 2 balls. Each child would then have 4 balls. ...
Guppy Simulation
Guppy Simulation

... The guppies share all of the same characteristics and are identical to each other. The guppies share all of the essential characteristics of the species; the minor variations they display don’t affect survival The guppies are all identical on the inside, but have many differences in appearance. The ...
+ p
+ p

Licence Plate Localization And Recognition Using
Licence Plate Localization And Recognition Using

< 1 ... 81 82 83 84 85 86 87 88 89 ... 193 >

Pattern recognition

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning. Pattern recognition systems are in many cases trained from labeled ""training"" data (supervised learning), but when no labeled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning).The terms pattern recognition, machine learning, data mining and knowledge discovery in databases (KDD) are hard to separate, as they largely overlap in their scope. Machine learning is the common term for supervised learning methods and originates from artificial intelligence, whereas KDD and data mining have a larger focus on unsupervised methods and stronger connection to business use. Pattern recognition has its origins in engineering, and the term is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. In pattern recognition, there may be a higher interest to formalize, explain and visualize the pattern, while machine learning traditionally focuses on maximizing the recognition rates. Yet, all of these domains have evolved substantially from their roots in artificial intelligence, engineering and statistics, and they've become increasingly similar by integrating developments and ideas from each other.In machine learning, pattern recognition is the assignment of a label to a given input value. In statistics, discriminant analysis was introduced for this same purpose in 1936. An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is ""spam"" or ""non-spam""). However, pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression, which assigns a real-valued output to each input; sequence labeling, which assigns a class to each member of a sequence of values (for example, part of speech tagging, which assigns a part of speech to each word in an input sentence); and parsing, which assigns a parse tree to an input sentence, describing the syntactic structure of the sentence.Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform ""most likely"" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. In contrast to pattern recognition, pattern matching is generally not considered a type of machine learning, although pattern-matching algorithms (especially with fairly general, carefully tailored patterns) can sometimes succeed in providing similar-quality output of the sort provided by pattern-recognition algorithms.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report