The Resource Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds)
Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds)
Resource Information
The item Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Machines capable of automatic pattern recognition have many fascinating uses in science and engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability. Tremendous progress has been made in refining such algorithms; yet, automatic learning in many simple tasks in daily life still appears to be far from reach. This book takes a close view of data complexity and its role in shaping the theories and techniques in different disciplines and asks: {u2022} What is missing from current classification techniques? {u2022} When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task? {u2022} How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data? Data Complexity in Pattern Recognition is unique in its comprehensive coverage and multidisciplinary approach from various methodological and practical perspectives. Researchers and practitioners alike will find this book an insightful reference to learn about the current status of available techniques as well as application areas
- Language
- eng
- Extent
- 1 online resource (xv, 300 pages)
- Contents
-
- Theory and Methodology
- Measures of Geometrical Complexity in Classification Problems
- Object Representation, Sample Size, and Data Set Complexity
- Measures of Data and Classifier Complexity and the Training Sample Size
- Linear Separability in Descent Procedures for Linear Classifiers
- Data Complexity, Margin-Based Learning, and Popper's Philosophy of Inductive Learning
- Data Complexity and Evolutionary Learning
- Classifier Domains of Competence in Data Complexity Space
- Data Complexity Issues in Grammatical Inference
- Applications
- Simple Statistics for Complex Feature Spaces
- Polynomial Time Complexity Graph Distance Computation for Web Content Mining
- Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles
- Complexity of Magnetic Resonance Spectrum Classification
- Data Complexity in Tropical Cyclone Positioning and Classification
- Human-Computer Interaction for Complex Pattern Recognition Problems
- Complex Image Recognition and Web Security
- Isbn
- 9786611067540
- Label
- Data complexity in pattern recognition
- Title
- Data complexity in pattern recognition
- Statement of responsibility
- Mitra Basu and Tin Kam Ho (eds)
- Subject
-
- COMPUTERS -- Optical Data Processing
- Classification
- Classification
- Classification
- Complexité de calcul (Informatique)
- Complexité de calcul (Informatique)
- Computational complexity
- Computational complexity
- Computational complexity
- Informatique
- Pattern perception
- Pattern perception
- Pattern perception
- Pattern recognition systems
- Pattern recognition systems
- Pattern recognition systems
- Perception des structures
- Perception des structures
- Reconnaissance des formes (Informatique)
- Reconnaissance des formes (informatique)
- Language
- eng
- Summary
- Machines capable of automatic pattern recognition have many fascinating uses in science and engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability. Tremendous progress has been made in refining such algorithms; yet, automatic learning in many simple tasks in daily life still appears to be far from reach. This book takes a close view of data complexity and its role in shaping the theories and techniques in different disciplines and asks: {u2022} What is missing from current classification techniques? {u2022} When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task? {u2022} How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data? Data Complexity in Pattern Recognition is unique in its comprehensive coverage and multidisciplinary approach from various methodological and practical perspectives. Researchers and practitioners alike will find this book an insightful reference to learn about the current status of available techniques as well as application areas
- Cataloging source
- GW5XE
- Dewey number
- 006.4
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- TK7882.P3
- LC item number
- D38 2006eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Basu, Mitra
- Ho, Tin Kam
- Series statement
- Advanced information and knowledge processing
- http://library.link/vocab/subjectName
-
- Pattern recognition systems
- Pattern perception
- Classification
- Computational complexity
- Reconnaissance des formes (Informatique)
- Perception des structures
- Classification
- Complexité de calcul (Informatique)
- COMPUTERS
- Pattern perception
- Classification
- Computational complexity
- Reconnaissance des formes (informatique)
- Perception des structures
- Complexité de calcul (Informatique)
- Pattern recognition systems
- Informatique
- Classification
- Computational complexity
- Pattern perception
- Pattern recognition systems
- Label
- Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Theory and Methodology -- Measures of Geometrical Complexity in Classification Problems -- Object Representation, Sample Size, and Data Set Complexity -- Measures of Data and Classifier Complexity and the Training Sample Size -- Linear Separability in Descent Procedures for Linear Classifiers -- Data Complexity, Margin-Based Learning, and Popper's Philosophy of Inductive Learning -- Data Complexity and Evolutionary Learning -- Classifier Domains of Competence in Data Complexity Space -- Data Complexity Issues in Grammatical Inference -- Applications -- Simple Statistics for Complex Feature Spaces -- Polynomial Time Complexity Graph Distance Computation for Web Content Mining -- Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles -- Complexity of Magnetic Resonance Spectrum Classification -- Data Complexity in Tropical Cyclone Positioning and Classification -- Human-Computer Interaction for Complex Pattern Recognition Problems -- Complex Image Recognition and Web Security
- Control code
- 209948855
- Dimensions
- unknown
- Extent
- 1 online resource (xv, 300 pages)
- Form of item
- online
- Isbn
- 9786611067540
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-84628-172-3
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-1-84628-171-6
- Specific material designation
- remote
- System control number
- (OCoLC)209948855
- Label
- Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Theory and Methodology -- Measures of Geometrical Complexity in Classification Problems -- Object Representation, Sample Size, and Data Set Complexity -- Measures of Data and Classifier Complexity and the Training Sample Size -- Linear Separability in Descent Procedures for Linear Classifiers -- Data Complexity, Margin-Based Learning, and Popper's Philosophy of Inductive Learning -- Data Complexity and Evolutionary Learning -- Classifier Domains of Competence in Data Complexity Space -- Data Complexity Issues in Grammatical Inference -- Applications -- Simple Statistics for Complex Feature Spaces -- Polynomial Time Complexity Graph Distance Computation for Web Content Mining -- Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles -- Complexity of Magnetic Resonance Spectrum Classification -- Data Complexity in Tropical Cyclone Positioning and Classification -- Human-Computer Interaction for Complex Pattern Recognition Problems -- Complex Image Recognition and Web Security
- Control code
- 209948855
- Dimensions
- unknown
- Extent
- 1 online resource (xv, 300 pages)
- Form of item
- online
- Isbn
- 9786611067540
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-84628-172-3
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-1-84628-171-6
- Specific material designation
- remote
- System control number
- (OCoLC)209948855
Subject
- COMPUTERS -- Optical Data Processing
- Classification
- Classification
- Classification
- Complexité de calcul (Informatique)
- Complexité de calcul (Informatique)
- Computational complexity
- Computational complexity
- Computational complexity
- Informatique
- Pattern perception
- Pattern perception
- Pattern perception
- Pattern recognition systems
- Pattern recognition systems
- Pattern recognition systems
- Perception des structures
- Perception des structures
- Reconnaissance des formes (Informatique)
- Reconnaissance des formes (informatique)
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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.missouri.edu/portal/Data-complexity-in-pattern-recognition-Mitra/Ju0g_yaGilU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Data-complexity-in-pattern-recognition-Mitra/Ju0g_yaGilU/">Data complexity in pattern recognition, Mitra Basu and Tin Kam Ho (eds)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
