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Vowpal Wabbit, A Machine Learning System
John Langford discusses how to use Vowpal Wabbit in and as a machine learning system including architecture, unique capabilities, and applications, applied to personalized news recommendation.
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The Yin and Yang of Hardware Heterogeneity: Can Software Survive?
Kathryn S. McKinley discusses research approaches and results that abstract, choose, and exploit hardware heterogeneity providing computational power at low energy consumption levels.
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Reverend Bayes, Meet Countess Lovelace: Machine Learning and Programming
Andy Gordon discusses machine learning using functional programming, explaining how Infer.NET Fun turns the succinct syntax of F# into an executable modeling language for Bayesian machine learning.
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F# Big Data Scripting
Matthew Moloney shares some of the F# tools built at Microsoft Research for dealing with Big Data.
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Staged Program Development
K. Rustan M. Leino advocates developing in stages by using languages that offer both design level abstractions – types, contracts, higher-level constructs, ghost constructs- and implementation ones.
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