In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Code injection attacks are a top threat to today’s Internet. With zero-day attacks on the rise, randomization techniques have been introduced to diversify software and operation...
Xuxian Jiang, Helen J. Wang, Dongyan Xu, Yi-Min Wa...
: In this paper, new code families are constructed for spectral-amplitude coding optical code division multiple access, called random diagonal code for spectral amplitude coding op...