Feature Based Product Life-Cycle Modelling, Ren? Soenen; Gustav J. Olling

Автор: Yongzhen Huang; Tieniu Tan
Название: Feature Coding for Image Representation and Recognition
ISBN: 3662449994 ISBN-13(EAN): 9783662449998
Издательство: Springer
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Цена: 46570.00 T
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Описание: This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline.

Автор: Ver?nica Bol?n-Canedo; Noelia S?nchez-Maro?o; Ampa
Название: Feature Selection for High-Dimensional Data
ISBN: 3319218573 ISBN-13(EAN): 9783319218571
Издательство: Springer
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Цена: 93160.00 T
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Описание: Introduction to High-Dimensionality.- Foundations of Feature Selection.- Experimental Framework.- Critical Review of Feature Selection Methods.- Application of Feature Selection to Real Problems.- Emerging Challenges.

Автор: Pieter W. Otter
Название: Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems
ISBN: 3540156542 ISBN-13(EAN): 9783540156543
Издательство: Springer
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Цена: 102480.00 T
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Описание: By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi- neering and social sciences and econometrics, and to contribute to either side.

Автор: Sven Apel; Don Batory; Christian K?stner; Gunter S
Название: Feature-Oriented Software Product Lines
ISBN: 3662513005 ISBN-13(EAN): 9783662513002
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book focuses on the development, maintenance, and implementation of product-line variability. It features a broad classification of tools and techniques for all stages of the development process and a detailed discussion of tradeoffs.

Автор: Anthony Mihirana De Silva; Philip H. W. Leong
Название: Grammar-Based Feature Generation for Time-Series Prediction
ISBN: 9812874100 ISBN-13(EAN): 9789812874108
Издательство: Springer
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Цена: 56590.00 T
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Описание: This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself.

Автор: Sven Apel; Don Batory; Christian K?stner; Gunter S
Название: Feature-Oriented Software Product Lines
ISBN: 3642375200 ISBN-13(EAN): 9783642375200
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the development, maintenance, and implementation of product-line variability. It features a broad classification of tools and techniques for all stages of the development process and a detailed discussion of tradeoffs.

Автор: Ali Ismail Awad; Mahmoud Hassaballah
Название: Image Feature Detectors and Descriptors
ISBN: 3319288520 ISBN-13(EAN): 9783319288529
Издательство: Springer
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Цена: 139310.00 T
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Описание: This bookprovides readers with a selection of high-quality chapters that cover boththeoretical concepts and practical applications of image feature detectors anddescriptors. It serves as reference for researchers and practitioners byfeaturing survey chapters and research contributions on image feature detectorsand descriptors.

Автор: Florian Eyben
Название: Real-time Speech and Music Classification by Large Audio Feature Space Extraction
ISBN: 3319272985 ISBN-13(EAN): 9783319272986
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book reports on an outstanding thesis thathas significantly advanced the state-of-the-art in the automated analysis andclassification of speech and music.

Автор: Basant Agarwal; Namita Mittal
Название: Prominent Feature Extraction for Sentiment Analysis
ISBN: 3319253417 ISBN-13(EAN): 9783319253411
Издательство: Springer
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Цена: 121890.00 T
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Описание:

1 Introduction

2 Literature Survey

3 Machine Learning Approach for Sentiment Analysis

4 Semantic Parsing using Dependency Rules

5 Sentiment Analysis using ConceptNet Ontology and Context

Information

6 Semantic Orientation based Approach for Sentiment Analysis

7 Conclusions and FutureWork

References

Glossary
Index

Автор: Urszula Sta?czyk; Lakhmi C. Jain
Название: Feature Selection for Data and Pattern Recognition
ISBN: 3662508451 ISBN-13(EAN): 9783662508459
Издательство: Springer
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Цена: 121890.00 T
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Описание: This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.

Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft
Название: Feature Extraction
ISBN: 366251771X ISBN-13(EAN): 9783662517710
Издательство: Springer
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Цена: 278580.00 T
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Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.

Автор: Huan Liu; Hiroshi Motoda
Название: Feature Extraction, Construction and Selection
ISBN: 0792381963 ISBN-13(EAN): 9780792381969
Издательство: Springer
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Цена: 269260.00 T
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Описание: Data pre-processing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from researchers in this field and offers the techniques that can boost the capabilities of many data mining tools. It is suitable for researchers and graduate students in machine learning and data mining.