Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
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1
Data Complexity in Pattern Recognition
EN NW EBISBN: 9781846281716 bzw. 1846281717, in Englisch, Springer London, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, الكتاب الإليكتروني للتحميل.
Computers, 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: What is missing from current classification techniques? 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? 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. eBook.
Computers, 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: What is missing from current classification techniques? 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? 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. eBook.
2
Data Complexity in Pattern Recognition
ENISBN: 9781846281716 bzw. 1846281717, in Englisch, Springer.
Lieferung aus: Vereinigte Staaten von Amerika, في الأوراق المالية.
Data Complexity in Pattern Recognition Basu, Mitra / Ho, Tin Kam, 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: a What is missing from current classification techniques? a 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? a 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.
Data Complexity in Pattern Recognition Basu, Mitra / Ho, Tin Kam, 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: a What is missing from current classification techniques? a 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? a 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.
3
Data Complexity in Pattern Recognition (2006)
EN NW EB DLISBN: 9781846281716 bzw. 1846281717, in Englisch, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei, Download.
Machines capable of automatic pattern recognition have many fascinating uses in science & 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. This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks: What is missing from current classification techniques? 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? How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data? Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.
Machines capable of automatic pattern recognition have many fascinating uses in science & 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. This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks: What is missing from current classification techniques? 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? How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data? Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.
4
Symbolbild
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing) (2006)
EN HC USISBN: 9781846281716 bzw. 1846281717, in Englisch, Springer, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, zzgl. Versandkosten, Versandgebiet: EUR.
Von Händler/Antiquariat, Better World Books UK, FIFE, Dunfermline, [RE:5].
Hard cover.
Von Händler/Antiquariat, Better World Books UK, FIFE, Dunfermline, [RE:5].
Hard cover.
5
Data Complexity Pattern Recognition Basu Ho Springer London Hardb. 9781846281716
EN NWISBN: 9781846281716 bzw. 1846281717, in Englisch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, نوع التسليم: Free, التسليم: Vereinigte Staaten von Amerika, Kanada, Vereinigtes Königreich Großbritannien und Nordirland, Australien, Österreich, Belgien, Frankreich, Deutschland, Italien, Japan, Spanien, Niederlande, China, Volksrepublik, Hongkong, Antigua und Barbuda, Bulgarien, Kroatien, Zypern, Tschechische Republik, Dänemark, Estland, Finnland, Griechenland, Ungarn, Irland, Lettland, Litauen, Luxemburg, Malta, Polen, Portugal, Rumänien, Slowakei, Slowenien, Schweden, Russische Föderation, Brasilien, Neuseeland, Israel, Norwegen, موقع العرض: AL60EH Welwyn,United Kingdom, الشحن المجاني.
Von Händler/Antiquariat, generalities - scarce and interesting books.
سعر ثابت.
Von Händler/Antiquariat, generalities - scarce and interesting books.
سعر ثابت.
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