Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Adaptive fault isolation methods based on discrepancyenabled pairwise comparisons are developed for reconfigurable logic devices. By observing the discrepancy characteristics of m...
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
—This work deals with navigation of an omni-directional mobile robot with active caster wheels. Initially, the posture of the omni-directional mobile robot is calculated by using...
Eui-Jung Jung, Ho Yul Lee, Jae Hoon Lee, Byung-Ju ...