Matches in DBpedia 2016-04 for { <http://citation.dbpedia.org/hash/e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913> ?p ?o }
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- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first1 "Fabian".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first10 "Vincent".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first11 "Jake".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first12 "Alexandre".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first13 "David".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first2 "Gaël".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first3 "Alexandre".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first4 "Vincent".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first5 "Bertrand".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first6 "Olivier".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first7 "Mathieu".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first8 "Peter".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 first9 "Ron".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 isCitedBy Cython.
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 journal "Journal of Machine Learning Research".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last1 "Pedregosa".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last10 "Dubourg".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last11 "Vanderplas".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last12 "Passos".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last13 "Cournapeau".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last2 "Varoquaux".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last3 "Gramfort".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last4 "Michel".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last5 "Thirion".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last6 "Grisel".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last7 "Blondel".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last8 "Prettenhofer".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 last9 "Weiss".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 pages "2825–2830".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 title "Scikit-learn: Machine Learning in Python".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 volume "12".
- e3b6c36c988b6e7272badbf05159015440d9b92606e859fb2cdffa30e3894913 year "2011".