The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...
Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei H...
Computer Assisted Language Learning (CALL) applications for improving the oral skills of low-proficient learners have to cope with nonnative speech that is particularly challengin...
Joost van Doremalen, Catia Cucchiarini, Helmer Str...
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
In recent articles we presented a general methodology for finite optimization. The new method, the Nested Partitions (NP) method, combines partitioning, random sampling, a select...
Code optimization of the offset assignment generated in embedded systems allows for power and space efficient systems. We propose a new heuristic that uses edge classification to ...
Sai Pinnepalli, Jinpyo Hong, J. Ramanujam, Doris L...