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Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks… Expand Over 30 years ago, the preprocessor cpp was developed to extend the programming language C by lightweight metaprogramming… Expand The caret package, short for classification and regression training, contains numerous tools for developing predictive models… Expand This book proposes a framework for comparative analysis of the relation between the media and the political system. Building on a… Expand Abstract The kinetic preprocessor (KPP) is a software tool that assists the computer simulation of chemical kinetic systems. The… Expand Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as… Expand Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the… Expand Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… Expand We present two algorithms for the approximate nearest neighbor problem in high-dimensional spaces. For data sets of size n living… Expand All digitizing methods, as a general rule, record lines with far more data than is necessary for accurate graphic reproduction or… Expand