Peter Prettenhofer

Scikit-learn: Machine Learning in Python

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing...

API design for machine learning software: experiences from the scikit-learn project

Scikit-learn is an increasingly popular machine learning li- brary. Written in Python, it is designed to be simple and efficient, accessible to non-experts, and reusable in various contexts. In...

Cross-Lingual Adaptation using Structural Correspondence Learning

Cross-lingual adaptation, a special case of domain adaptation, refers to the transfer of classification knowledge between two languages. In this article we describe an extension of Structural...

Efficient Statement Identification for Automatic Market Forecasting

Acquiring Explicit User Goals from Search Query Logs

Cross-Language Text Classification Using Structural Correspondence Learning

Different Degrees of Explicitness in Intentional Artifacts: An Exploratory Study of User Goals in a Search Query Log