Peter Prettenhofer

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All published works

Action	Title	Year	Authors
+ PDF Chat	API design for machine learning software: experiences from the scikit-learn project	2013	Lars Buitinck Gilles Louppe Mathieu Blondel Fabián Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler
+	API design for machine learning software: experiences from the scikit-learn project	2013	Lars Buitinck Gilles Louppe Mathieu Blondel Fabián Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg
+ PDF Chat	Scikit-learn: Machine Learning in Python	2011	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Andreas Müller Joel Nothman Gilles Louppe
+ PDF Chat	Cross-Lingual Adaptation Using Structural Correspondence Learning	2011	Peter Prettenhofer Benno Stein
+	Cross-Lingual Adaptation using Structural Correspondence Learning	2010	Peter Prettenhofer Benno Stein
+	Cross-Lingual Adaptation using Structural Correspondence Learning	2010	Peter Prettenhofer Benno Stein

Common Coauthors

Coauthor	Papers Together
Fabián Pedregosa	4
Alexandre Gramfort	4
Jake Vanderplas	4
Gaël Varoquaux	4
Mathieu Blondel	4
Olivier Grisel	4
Gilles Louppe	3
Benno Stein	3
Édouard Duchesnay	2
David Cournapeau	2
Bertrand Thirion	2
Vincent Michel	2
Alexandre Passos	2
Matthieu Brucher	2
Vlad Niculae	2
Lars Buitinck	2
Jaques Grobler	2
Arnaud Joly	2
Vincent Dubourg	2
Ron J. Weiss	2
Matthieu Perrot	2
Robert Layton	1
Andreas Mueller	1
Andreas Mueller	1
Robert Layton	1
Brian Holt	1
Brian D. Holt	1
Andreas Müller	1
Joel Nothman	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Sample Selection Bias Correction Theory	2008	Corinna Cortes Mehryar Mohri Michael Riley Afshin Rostamizadeh	2
+ PDF Chat	A supervised clustering approach for fMRI-based inference of brain states	2011	Vincent Michel Alexandre Gramfort Gaël Varoquaux Evelyn Eger Christine Keribin Bertrand Thirion	2
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	2
+ PDF Chat	A Randomized Algorithm for Principal Component Analysis	2009	Vladimir Rokhlin Arthur Szlam Mark Tygert	2
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	2
+	Frustratingly Easy Domain Adaptation	2009	Hal Daumé	2
+ PDF Chat	The NumPy Array: A Structure for Efficient Numerical Computation	2011	Stéfan van der Walt Steven C. Colbert Gaël Varoquaux	2
+	Sparse Online Learning via Truncated Gradient	2008	John Langford Lihong Li Tong Zhang	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	1
+ PDF Chat	Introduction to astroML: Machine learning for astrophysics	2012	Jake Vanderplas Andrew J. Connolly Željko Ivezić Alex Gray	1
+ PDF Chat	Feature hashing for large scale multitask learning	2009	Kilian Q. Weinberger Anirban Dasgupta John Langford Alex Smola Josh Attenberg	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1