This paper studies efficient learning with respect to mind changes. Our starting point is the idea that a learner that is efficient with respect to mind changes minimizes mind cha...
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
As flash memory technologies quickly improve, flashmemory-based storage devices are becoming a viable alternative as a secondary storage solution for general-purpose computing sys...
Sungjin Lee, Dongkun Shin, Young-Jin Kim, Jihong K...
We present a new terrain classification technique both for effective, autonomous locomotion over rough, unknown terrains and for the qualitative analysis of terrains for exploratio...
Amy C. Larson, Guleser K. Demir, Richard M. Voyles