Progress in Pattern Classification and Machine Learning (eng)
Trajdos, Pawe?
Sold by Brook Bookstore On Demand, Napoli, NA, Italy
AbeBooks Seller since October 11, 2022
New - Soft cover
Condition: New
Quantity: Over 20 available
Add to basketSold by Brook Bookstore On Demand, Napoli, NA, Italy
AbeBooks Seller since October 11, 2022
Condition: New
Quantity: Over 20 available
Add to basketQuesto è un articolo print on demand.
Seller Inventory # 32KVKUDBAR
This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition.
The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results.
Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.
This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition.
The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results.
Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.
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