Analysing the predictivity of features to characterise the search space
(2022)
Presentation / Conference Contribution
Durgut, R., Aydin, M. E., Ihshaish, H., & Rakib, A. (2022, September). Analysing the predictivity of features to characterise the search space. Presented at Artificial Neural Networks and Machine Learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK
Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characterise the search spaces and take actions accordingly. A well-characterised... Read More about Analysing the predictivity of features to characterise the search space.