The Resource A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource)
A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource)
Resource Information
The item A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from all library branches.
Resource Information
The item A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from all library branches.
- Summary
- "In this study the Bayes likelihood detector is combined with an adaptive decision threshold classifier to solve the multicategory pattern recognition problem. It is assumed that the pattern classes can be represented by an n-dimensional vector sample taken from a multivariate gaussian probability distribution. This study presents (1) the derivation of the Ad̲aptive H̲ypersphere D̲ecision T̲hreshold classifier (AHDT classifier) and shows (2) how the AHDT classifier minimizes the probability of error using the learning patterns. Finally the AHDT classifier is applied to the solution of a physical problem through computer simulation"--Abstract, p. ii
- Language
- eng
- Extent
- 1 online resource (xi, 104 pages)
- Note
-
- Vita
- The entire thesis text is included in file
- Title from title screen of thesis/dissertation PDF file (viewed May 24, 2012)
- Label
- A method of supervised pattern recognition by an adaptive hypersphere decision threshold
- Title
- A method of supervised pattern recognition by an adaptive hypersphere decision threshold
- Statement of responsibility
- by Darroll S. McCormack
- Language
- eng
- Summary
- "In this study the Bayes likelihood detector is combined with an adaptive decision threshold classifier to solve the multicategory pattern recognition problem. It is assumed that the pattern classes can be represented by an n-dimensional vector sample taken from a multivariate gaussian probability distribution. This study presents (1) the derivation of the Ad̲aptive H̲ypersphere D̲ecision T̲hreshold classifier (AHDT classifier) and shows (2) how the AHDT classifier minimizes the probability of error using the learning patterns. Finally the AHDT classifier is applied to the solution of a physical problem through computer simulation"--Abstract, p. ii
- Cataloging source
- UMR
- http://library.link/vocab/creatorDate
- 1940-
- http://library.link/vocab/creatorName
- McCormack, Darroll Steven
- Degree
- M.S.
- Dissertation year
- 1968.
- Granting institution
- University of Missouri at Rolla
- Illustrations
- illustrations
- Index
- no index present
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- theses
- http://library.link/vocab/subjectName
-
- Pattern recognition systems
- Pattern perception
- Adaptive control systems
- Target audience
- specialized
- Label
- A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource)
- Note
-
- Vita
- The entire thesis text is included in file
- Title from title screen of thesis/dissertation PDF file (viewed May 24, 2012)
- Bibliography note
- Includes bibliographical references (pages 83-87)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- black and white
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 794240951
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 104 pages)
- Form of item
- electronic
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations, digital, PDF file.
- Specific material designation
- remote
- System control number
- (OCoLC)794240951
- System details
-
- System requirements: Adobe Acrobat Reader; Internet browser
- Mode of access: World Wide Web
- Label
- A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource)
- Note
-
- Vita
- The entire thesis text is included in file
- Title from title screen of thesis/dissertation PDF file (viewed May 24, 2012)
- Bibliography note
- Includes bibliographical references (pages 83-87)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- black and white
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 794240951
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 104 pages)
- Form of item
- electronic
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations, digital, PDF file.
- Specific material designation
- remote
- System control number
- (OCoLC)794240951
- System details
-
- System requirements: Adobe Acrobat Reader; Internet browser
- Mode of access: World Wide Web
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/A-method-of-supervised-pattern-recognition-by-an/twtAuWr7fAc/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/A-method-of-supervised-pattern-recognition-by-an/twtAuWr7fAc/">A method of supervised pattern recognition by an adaptive hypersphere decision threshold, by Darroll S. McCormack, (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>
