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The top documents tagged [labeled data]
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labeled data
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Chapter 5
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Machine learning
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Bayesian Learning & Estimation Theory. Maximum likelihood estimation L = Example: For Gaussian likelihood P(x| ) = N (x|, 2 ), Objective of regression:
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Pattern Classification & Decision Theory. How are we doing on the pass sequence? Bayesian regression and estimation enables us to track the man in the.
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ReverseTesting: An Efficient Framework to Select Amongst Classifiers under Sample Selection Bias Wei Fan IBM T.J.Watson Ian Davidson SUNY Albany.
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CSC321 Introduction to Neural Networks and Machine Learning Lecture 21 Using Boltzmann machines to initialize backpropagation Geoffrey Hinton.
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Data Mining: Evaluasi dan Validasi Romi Satria Wahono
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+6281586220090.
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December 2011 NIPS Adaptation Workshop With thanks to: Collaborators: Ming-Wei Chang, Michael Connor, Gourab Kundu, Alla Rozovskaya Funding: NSF, MIAS-DHS,
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CS910: Foundations of Data Analytics Graham Cormode
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Recommender Systems.
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IRE-2014: Sub-topic clustering on tweets and generating brief pseudo summaries
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