





  Graph Classification and Clustering Based on Vector Space Embedding
Due to the ability of graphs to represent properties of entities and binary relations at the same time, a growing interest in graph based object repre sentation can be observed in science and engineering. Yet, graphs are still not the common data structure in pattern recognition and related fields. The reason for this is twofold. First,...   

Graphing Data with R: An Introduction
It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods...   Trustworthy Compilers (Quantitative Software Engineering Series)
The Most Complete, RealWorld Guide to Compiler
Development—and the Principles of Trustworthy Compilers
Drawing on the author's over thirty years of expertise in compiler development, research, and instruction, Trustworthy Compilers introduces and analyzes the concept of trustworthy compilers and the principles...   


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