• Corpus ID: 162183474

Automated Algorithm Selection - Predict which algorithm to use!

@inproceedings{Lindauer2019AutomatedAS,
  title={Automated Algorithm Selection - Predict which algorithm to use!},
  author={Marius Thomas Lindauer},
  booktitle={AMIR@ECIR},
  year={2019}
}
To achieve state-of-the-art performance, it is often crucial to select a suitable algorithm for a given problem instance. For example, what is the best search algorithm for a given instance of a search problem; or what is the best machine learning algorithm for a given dataset? By trying out many different algorithms on many problem instances, developers learn an intuitive mapping from some characteristics of a given problem instance (e.g., the number of features of a dataset) to a well… 
Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)
TLDR
The goal was to raise the awareness in the IR community of the algorithm selection problem; identify the potential for automatic algorithm selection in information retrieval; and explore possible solutions for this context.