KERNELS FOR STRUCTURED DATA by Thomas Gartner
This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be applied to structured data. Kernel methods are a class of state-of-the-art learning algorithms that exhibit excellent learning results in several application domains. Originally, kernel methods were developed with data in mind that can easily be embedded in a Euclidean vector space. Much real-world data does not have this property but is inherently structured. An example of such data, often consulted in the book, is the (2D) graph structure of molecules formed by their atoms and bonds. The book guides the reader from the basics of kernel methods to advanced algorithms and kernel design for structured data. It is thus useful for readers who seek an entry point into the field as well as experienced researchers.-
INTEGRATION OF SWARM INTELLIGENCE AND ARTIFICIAL NEURAL NETWORK
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FIGHTING TERROR IN CYBERSPACE
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DISSIMILARITY REPRESENTATION FOR PATTERN RECOGNITION, THE: FOUNDATIONS AND APPLICATIONS
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DATA MINING WITH DECISION TREES: THEORY AND APPLICATIONS
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RECOGNITION OF WHITEBOARD NOTES: ONLINE, OFFLINE AND COMBINATION
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GRAPH-BASED KEYWORD SPOTTING
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INVARIANTS FOR PATTERN RECOGNITION AND CLASSIFICATION
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HYBRID METAHEURISTICS: RESEARCH AND APPLICATIONS
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The AGENT ENGINEERING
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HIDDEN MARKOV MODELS: APPLICATIONS IN COMPUTER VISION
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ACTIVE ROBOT VISION: CAMERA HEADS, MODEL BASED NAVIGATION AND REACTIVE CONTROL
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STUDIES IN PATTERN RECOGNITION: A MEMORIAL TO THE LATE PROFESSOR KING-SUN FU
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WAVELET THEORY AND ITS APPLICATION TO PATTERN RECOGNITION
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EXPERIMENTAL ENVIRONMENTS FOR COMPUTER VISION AND IMAGE PROCESSING
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BRIDGING THE GAP BETWEEN GRAPH EDIT DISTANCE AND KERNEL MACHINES
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MODELLING AND PLANNING FOR SENSOR BASED INTELLIGENT ROBOT SYSTEMS
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GRAPH-THEORETIC TECHNIQUES FOR WEB CONTENT MINING
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PARALLEL IMAGE ANALYSIS: THEORY AND APPLICATIONS
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PARALLEL IMAGE ANALYSIS AND PROCESSING
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INTELLIGENT ROBOTS - SENSING, MODELING AND PLANNING
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PERSONALIZATION TECHNIQUES AND RECOMMENDER SYSTEMS
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DOCUMENT ANALYSIS SYSTEMS II
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MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION
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THEORY AND APPLICATIONS OF IMAGE ANALYSIS: SELECTED PAPERS FROM THE 7TH SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS
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NEURAL NETWORKS IN VISION AND PATTERN RECOGNITION
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SYNTACTIC PATTERN RECOGNITION FOR SEISMIC OIL EXPLORATION
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DOCUMENT IMAGE ANALYSIS
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COMPUTATIONAL INTELLIGENCE IN SOFTWARE QUALITY ASSURANCE
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ROBUST RANGE IMAGE REGISTRATION USING GENETIC ALGORITHMS AND THE SURFACE INTERPENETRATION MEASURE
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IMAGE PATTERN RECOGNITION: SYNTHESIS AND ANALYSIS IN BIOMETRICS
Thomas Gärtner, Universität zu Köln.
| SKU | Unavailable |
| ISBN 13 | 9789812814555 |
| ISBN 10 | 9812814558 |
| Title | KERNELS FOR STRUCTURED DATA |
| Author | Thomas Gartner |
| Series | Series In Machine Perception And Artificial Intelligence |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | World Scientific Publishing Co Pte Ltd |
| Year published | 2008-09-02 |
| Number of pages | 216 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |