Bridging The Gap Between Graph Edit Distance And Kernel Machines

Discover the innovative world of graph kernel functions with Bridging The Gap Between Graph Edit Distance And Kernel Machines by Michel Neuhaus. Published by World Scientific Publishing Co Pte Ltd in 2007, this insightful hardback spans 244 pages and delves into the intricacies of structural error tolerance in graph theory.

This book presents a comprehensive collection of novel graph kernels related to edit distance, including diffusion kernels, convolution kernels, and random walk kernels. Ideal for professionals and students in the fields of artificial intelligence, fuzzy logic, and computer vision, Neuhaus's work is a vital resource for those looking to enhance their understanding of pattern recognition and computational techniques.

Unlock the potential of advanced graph analysis with this essential addition to your computer science library.