Yannis Belkhiter, Dhaval Salwala, et al.
NFV-SDN 2025
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Efficient active sampling algorithms for simple geometric concepts, such as intervals on a line and axis parallel boxes. (2) A characterization for the case of binary output value in a transductive setting. (3) An analysis of active sampling with uniform distribution in the plane. (4) An efficient algorithm for the Boolean hypercube when each output value is a monomial. © 2007 Springer Science+Business Media, LLC.
Yannis Belkhiter, Dhaval Salwala, et al.
NFV-SDN 2025
Guillaume Buthmann, Tomoya Sakai, et al.
ICASSP 2025
Joxan Jaffar
Journal of the ACM
Hironori Takeuchi, Tetsuya Nasukawa, et al.
Transactions of the Japanese Society for Artificial Intelligence