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Machine learning / Bioinformatics / Hidden Markov model / Baum–Welch algorithm / Viterbi algorithm / Speech recognition / Cluster analysis / Unsupervised learning / K-means clustering / Statistics / Markov models / Computational statistics


Document Date: 2014-07-02 07:55:13

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Amazon / Twitter / Facebook / /

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Facility

Imperial College London South Kensington Campus / Hospital Patient Arrivals / /

IndustryTerm

real-world applications / Internet Packet-level Sources / classifiyng Internet traffic data / social media / enormous online user-populations / minimal processing needs / online social interactions / social media phenomena / statistical algorithms / online user streams / social networks / token passing algorithm / social network / similar social media sites / Internet traffic data / pre-processing / online network performance metrics / online users / /

Organization

Peter G. Harrison Department of Computing / /

Person

Peter G. Harrison / /

Product

MultiHMM / Hypergraph / /

SportsEvent

Boston Marathon / /

Technology

Speech Recognition / Viterbi algorithm / Baum-Welch algorithm / K-means clustering algorithm / adapted Baum-Welch algorithm / token passing algorithm / aforementioned ForwardBackward algorithm / BaumWelch algorithm / MultiInput Baum-Welch algorithm / Forward-Backward algorithm / /

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