We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
This paper considers the problem of using wireless LAN locationsensing for security applications. Recently, Bayesian methods have been successfully used to determine location from...
Ping Tao, Algis Rudys, Andrew M. Ladd, Dan S. Wall...
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...