Advances in Machine Learning and Data Analysis:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
2010
|
| Schriftenreihe: | Lecture Notes in Electrical Engineering
48 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHI01 FHN01 FHR01 Volltext |
| Beschreibung: | A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis |
| Beschreibung: | 1 Online-Ressource (VIII, 239p) |
| ISBN: | 9789048131778 |
| DOI: | 10.1007/978-90-481-3177-8 |
Internformat
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| 500 | |a A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis | ||
| 505 | 0 | |a 2D/3D Image Data Analysis for Object Tracking and Classification -- Robot Competence Development by Constructive Learning -- Using Digital Watermarking for Securing Next Generation Media Broadcasts -- A Reduced-Dimension Processor Model -- Hybrid Machine Learning Model for Continuous Microarray Time Series -- An Asymptotic Method to a Financial Optimization Problem -- Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes -- Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys -- Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models -- Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier -- A New Robust Combined Method for Auto Exposure and Auto White-Balance -- A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters -- Harmonic Analysis and Optimum Allocation of Filters in CSCT -- Digital Pen and Paper Technology as a Means of Classroom Administration Relief -- A Conceptual Model for a Network-Based Assessment Security System -- Incorrect Weighting of Absolute Performance in Self-Assessment | |
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| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Data Structures | |
| 650 | 4 | |a Informatik | |
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Datensatz im Suchindex
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| author | Amouzegar, Mahyar A. |
| author_facet | Amouzegar, Mahyar A. |
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| contents | 2D/3D Image Data Analysis for Object Tracking and Classification -- Robot Competence Development by Constructive Learning -- Using Digital Watermarking for Securing Next Generation Media Broadcasts -- A Reduced-Dimension Processor Model -- Hybrid Machine Learning Model for Continuous Microarray Time Series -- An Asymptotic Method to a Financial Optimization Problem -- Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes -- Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys -- Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models -- Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier -- A New Robust Combined Method for Auto Exposure and Auto White-Balance -- A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters -- Harmonic Analysis and Optimum Allocation of Filters in CSCT -- Digital Pen and Paper Technology as a Means of Classroom Administration Relief -- A Conceptual Model for a Network-Based Assessment Security System -- Incorrect Weighting of Absolute Performance in Self-Assessment |
| ctrlnum | (OCoLC)881674281 (DE-599)BVBBV041889749 |
| dewey-full | 006.312 |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-90-481-3177-8 |
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| spelling | Amouzegar, Mahyar A. Verfasser aut Advances in Machine Learning and Data Analysis edited by Mahyar A. Amouzegar Dordrecht Springer Netherlands 2010 1 Online-Ressource (VIII, 239p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Electrical Engineering 48 A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis 2D/3D Image Data Analysis for Object Tracking and Classification -- Robot Competence Development by Constructive Learning -- Using Digital Watermarking for Securing Next Generation Media Broadcasts -- A Reduced-Dimension Processor Model -- Hybrid Machine Learning Model for Continuous Microarray Time Series -- An Asymptotic Method to a Financial Optimization Problem -- Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes -- Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys -- Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models -- Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier -- A New Robust Combined Method for Auto Exposure and Auto White-Balance -- A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters -- Harmonic Analysis and Optimum Allocation of Filters in CSCT -- Digital Pen and Paper Technology as a Means of Classroom Administration Relief -- A Conceptual Model for a Network-Based Assessment Security System -- Incorrect Weighting of Absolute Performance in Self-Assessment Computer science Data structures (Computer science) Data mining Computer Science Data Mining and Knowledge Discovery Data Structures Informatik 1\p (DE-588)1071861417 Konferenzschrift gnd-content Erscheint auch als Druckausgabe 978-90-481-3176-1 https://doi.org/10.1007/978-90-481-3177-8 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Amouzegar, Mahyar A. Advances in Machine Learning and Data Analysis 2D/3D Image Data Analysis for Object Tracking and Classification -- Robot Competence Development by Constructive Learning -- Using Digital Watermarking for Securing Next Generation Media Broadcasts -- A Reduced-Dimension Processor Model -- Hybrid Machine Learning Model for Continuous Microarray Time Series -- An Asymptotic Method to a Financial Optimization Problem -- Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes -- Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys -- Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models -- Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier -- A New Robust Combined Method for Auto Exposure and Auto White-Balance -- A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters -- Harmonic Analysis and Optimum Allocation of Filters in CSCT -- Digital Pen and Paper Technology as a Means of Classroom Administration Relief -- A Conceptual Model for a Network-Based Assessment Security System -- Incorrect Weighting of Absolute Performance in Self-Assessment Computer science Data structures (Computer science) Data mining Computer Science Data Mining and Knowledge Discovery Data Structures Informatik |
| subject_GND | (DE-588)1071861417 |
| title | Advances in Machine Learning and Data Analysis |
| title_auth | Advances in Machine Learning and Data Analysis |
| title_exact_search | Advances in Machine Learning and Data Analysis |
| title_full | Advances in Machine Learning and Data Analysis edited by Mahyar A. Amouzegar |
| title_fullStr | Advances in Machine Learning and Data Analysis edited by Mahyar A. Amouzegar |
| title_full_unstemmed | Advances in Machine Learning and Data Analysis edited by Mahyar A. Amouzegar |
| title_short | Advances in Machine Learning and Data Analysis |
| title_sort | advances in machine learning and data analysis |
| topic | Computer science Data structures (Computer science) Data mining Computer Science Data Mining and Knowledge Discovery Data Structures Informatik |
| topic_facet | Computer science Data structures (Computer science) Data mining Computer Science Data Mining and Knowledge Discovery Data Structures Informatik Konferenzschrift |
| url | https://doi.org/10.1007/978-90-481-3177-8 |
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