In our previous work, a highly scalable and faulttolerant network architecture, the Progressive Multi-hop Rotational Clustered (PMRC) structure, is proposed for constructing large...
Qiaoqin Li, Mei Yang, Hongyan Wang, Yingtao Jiang,...
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
We investigate the problem of mining closed sets in multi-relational databases. Previous work introduced different semantics and associated algorithms for mining closed sets in mu...
In South-East Asia, huge swarms of fireflies synchronously emit light flashes to attract mating partners. The underlying principle can be used to implement a robust and scalable d...
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...