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Parallel Version of Support Vector Machine A
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Application background It is the code of the paper: Http://books.nips.cc/papers/files/nips20/NIPS2007_0435.pdf. Http://books.nips.cc/papers/files/nips20/NIPS2007_0435.pdf. this is an all-kernel-support version of SVM, which can parallel run on multiple machines. & nbsp; & nbsp; the ---From code.google Key Technology We migrate it from Google's large scale computing infrastructure to MPI, then every one can use and run it please notice this open source project is a 20% project (we do it in part time), and it is still in a beta version.:); ---From & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; &
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Word2vec Google
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Application background This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research. & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; ----from code.google Key Technology The word2vec tool takes a text corpus as input and produces the word vectors as output. It first constructs a vocabulary from the training text data and then learns the vector representation of words. The resulting word vector file can be used as features in many natural language processing and machine learning applications.NO TRANS
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