Thorsten Joachims

Making Large-Scale Support Vector Machine Learning Practical

Text categorization with Support Vector Machines: Learning with many relevant features

A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization

A probabilistic analysis of the Rocchio relevance feedback algorithm, one of the most popular learning methods from information retrieval, is presented in a text categorization ...

Making Large-Scale SVM Learning Practical

Training a support vector machine SVM leads to a quadratic optimization problem with bound constraints and one linear equality constraint. Despite the fact that this type of pro...

Training linear SVMs in linear time

Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for high-dimensional sparse data commonly encountered in applications lik...