We demonstrate the practical uses of a community-based platform for the sharing and in-depth investigation of the thousands of machine learning experiments executed every day. It is aimed at researchers and practitioners of data mining techniques, and is publicly available at http://expdb.cs.kuleuven.be. The system offers standards and API’s for sharing experimental results, extensive querying capabilities of the gathered results and allows easy integration in existing data mining toolboxes. We believe such a system may speed up scientific discovery and enhance the scientific rigor of machine learning research.status: publishe
Machine learning research often has a large experimental component. While the experimental methodolo...
Associated research group: Critical Systems Research GroupWhen researchers want to repeat, improve o...
Research in machine learning and data mining can be speeded up tremendously by moving empirical rese...
Abstract. We demonstrate the practical uses of a community-based platform for the sharing and in-dep...
Thousands of machine learning research papers contain extensive experimental comparisons. However, t...
Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certa...
Thousands of machine learning research papers contain extensive experimental comparisons. However, t...
Thousands of machine learning research papers contain extensive experimental comparisons. However, t...
Abstract. Data mining is a science guided by experimentation. Still, there exists only limited suppo...
Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certa...
All around the globe, thousands of learning experiments are being executed on a daily basis, only t...
Research in machine learning and data mining can be speeded up tremendously by moving empirical rese...
Next to running machine learning algorithms based on inductive queries, much can be learned by immed...
All around the globe, thousands of learning experiments are being executed on a daily basis, only to...
Many studies in machine learning try to in-vestigate what makes an algorithm succeed or fail on cert...
Machine learning research often has a large experimental component. While the experimental methodolo...
Associated research group: Critical Systems Research GroupWhen researchers want to repeat, improve o...
Research in machine learning and data mining can be speeded up tremendously by moving empirical rese...
Abstract. We demonstrate the practical uses of a community-based platform for the sharing and in-dep...
Thousands of machine learning research papers contain extensive experimental comparisons. However, t...
Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certa...
Thousands of machine learning research papers contain extensive experimental comparisons. However, t...
Thousands of machine learning research papers contain extensive experimental comparisons. However, t...
Abstract. Data mining is a science guided by experimentation. Still, there exists only limited suppo...
Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certa...
All around the globe, thousands of learning experiments are being executed on a daily basis, only t...
Research in machine learning and data mining can be speeded up tremendously by moving empirical rese...
Next to running machine learning algorithms based on inductive queries, much can be learned by immed...
All around the globe, thousands of learning experiments are being executed on a daily basis, only to...
Many studies in machine learning try to in-vestigate what makes an algorithm succeed or fail on cert...
Machine learning research often has a large experimental component. While the experimental methodolo...
Associated research group: Critical Systems Research GroupWhen researchers want to repeat, improve o...
Research in machine learning and data mining can be speeded up tremendously by moving empirical rese...