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- Q7942323 subject Q8363864.
- Q7942323 abstract "Vowpal Wabbit (also known as "VW") is an open source fast out-of-core learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research. It was started and is led by John Langford. Vowpal Wabbit is notable as an efficient scalable implementation of online machine learning and support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.".
- Q7942323 developer Q8046867.
- Q7942323 genre Q2539.
- Q7942323 latestReleaseDate "2015-06-27".
- Q7942323 latestReleaseVersion "8.0".
- Q7942323 license Q191307.
- Q7942323 programmingLanguage Q2407.
- Q7942323 status "Active".
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- Q7942323 developer "Yahoo! Research & later Microsoft Research".
- Q7942323 genre Q2539.
- Q7942323 latestReleaseDate "2015-06-27".
- Q7942323 latestReleaseVersion "8".
- Q7942323 license Q191307.
- Q7942323 name "Vowpal Wabbit".
- Q7942323 programmingLanguage Q2407.
- Q7942323 status "Active".
- Q7942323 type CreativeWork.
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- Q7942323 type Work.
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- Q7942323 comment "Vowpal Wabbit (also known as "VW") is an open source fast out-of-core learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research. It was started and is led by John Langford. Vowpal Wabbit is notable as an efficient scalable implementation of online machine learning and support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.".
- Q7942323 label "Vowpal Wabbit".
- Q7942323 homepage ~vw.
- Q7942323 name "Vowpal Wabbit".