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combining the flexibility of edit distance-based graph matching with the power of kernel machines for pattern recognition. The authors introduce a;
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analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph;
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Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;
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Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;
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This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex;
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applications and some related and attractive open problems. This book is dedicated to Professor Frank Harary (1921-2005), the grandmaster of graph;
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coverage, Quantitative Graph Theory: Mathematical Foundations and Applications fills a gap in the contemporary literature of discrete and applied;
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coverage, Quantitative Graph Theory: Mathematical Foundations and Applications fills a gap in the contemporary literature of discrete and applied;
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similarity into database systems. We start out by discussing the properties of strings and trees, and identify the edit distance as the de facto;
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similarity into database systems. We start out by discussing the properties of strings and trees, and identify the edit distance as the de facto;
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the latest machine learning techniques, including patch alignment framework; spectral clustering, graph cuts, and convex relaxation; ensemble;
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factorizations, and graph embeddings. The remainder of the text deals exclusively with graph colorings. It covers vertex colorings and bounds for the;
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perspective on bridging the gap between k-nearest neighbor-based outlier detection and clustering-based outlier detection, laying the groundwork for;
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Score, there was The Illness Narratives. It remains today a prescient and passionate case for bridging the gap between patient and practitioner.;
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contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background allows to bridge the gap;
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submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which;
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This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be;
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Bridging the Gap is een boek van B Blaine Campbell;
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Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years This book;
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map common to support vector machines (SVMs) and other kernel methods. In addition to the classical applications of kernel methods, the kernel;
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In spite of decades of school reform, the achievement gap between English learners and English-proficient students has narrowed little;
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In spite of decades of school reform, the achievement gap between English learners and English-proficient students has narrowed little;
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'Speakout' is a 6-level general English course for adults, bridging the gap between the classroom and the real world helping students;
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