Peter Prettenhofer
Peter Prettenhofer
未知所在单位机构
在 ciuvo.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
the Journal of machine Learning research 12, 2825-2830, 2011
337972011
API design for machine learning software: experiences from the scikit-learn project
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
arXiv preprint arXiv:1309.0238, 2013
9942013
Cross-language text classification using structural correspondence learning
P Prettenhofer, B Stein
Proceedings of the 48th annual meeting of the association for computational …, 2010
2562010
Intrinsic plagiarism analysis
B Stein, N Lipka, P Prettenhofer
Language Resources and Evaluation 45 (1), 63-82, 2011
1802011
duchesnay E
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res 12, 2825-2830, 2010
1772010
Scikit-learn: Machine learning without learning the machinery
G Varoquaux, L Buitinck, G Louppe, O Grisel, F Pedregosa, A Mueller
GetMobile: Mobile Computing and Communications 19 (1), 29-33, 2015
1322015
Scikit-learn: machine learning in Python. 2011
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Mach. Learn. Res 12, 2019
722019
Cross-lingual adaptation using structural correspondence learning
P Prettenhofer, B Stein
ACM Transactions on Intelligent Systems and Technology (TIST) 3 (1), 1-22, 2011
702011
Visualizing and Measuring the Geometry of BERT
E Reif, A Yuan, M Wattenberg, FB Viegas, A Coenen, A Pearce, B Kim
Advances in Neural Information Processing Systems, 8594-8603, 2019
392019
Solar energy prediction: An international contest to initiate interdisciplinary research on compelling meteorological problems
A McGovern, DJ Gagne, J Basara, TM Hamill, D Margolin
Bulletin of the American Meteorological Society 96 (8), 1388-1395, 2015
242015
Gradient boosted regression trees in scikit-learn
P Prettenhofer, G Louppe
212014
Different degrees of explicitness in intentional artifacts-studying user goals in a large search query log
M Strohmaier, P Prettenhofer, M Lux
Proceedings of the CSKGOI 8, 2008
202008
Efficient statement identification for automatic market forecasting
H Wachsmuth, P Prettenhofer, B Stein
Proceedings of the 23rd International Conference on Computational …, 2010
122010
Acquiring explicit user goals from search query logs
M Strohmaier, P Prettenhofer, M Kröll
2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008
112008
Forecasting daily solar energy production using robust regression techniques
G Louppe, P Prettenhofer
22014
An associative and adaptive network model for information retrieval in the Semantic Web
P Scheir, P Prettenhofer, SN Lindstaedt, C Ghidini
Progressive Concepts for Semantic Web Evolution: Applications and …, 2010
2010
Applying Language Technologies to Support Work-Integrated Learning
S Lindstaedt, G Beham, H Stern, P Prettenhofer, P Scheir
Sprache und Datenverarbeitung 34 (2), 31-48, 2010
2010
Equipping Intelligent Agents with Commonsense Knowledge acquired from Search Query Logs: Results from an Exploratory Story
M Strohmaier, M Kröll, P Prettenhofer
Data Mining and Multi-agent Integration, 167-176, 2009
2009
TIR 2010 Program Committee/Reviewers
B Stein, M Alexandrov, M Anderka, A Barrón-Cedeño, M Döller, ...
Acquiring Knowledge About Explicit User Goals from Search Query Logs
M Strohmaier, P Prettenhofer, M Kröll
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