Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Three funds filed to let software run the portfolio. The sales pages promise a lot. The risk pages quietly take most of it back.
This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
Abstract: In the satellite lifetime optimization, reliability is a critical issue. For the complex satellite system, Bayesian network (BN) is an important method for reliability modeling and inference ...
Abstract: The fifth generation and future wireless networks are expected to support massive machine-to-machine (M2M) communications. Due to the sporadic nature, massive M2M communications can be well ...
The bvars package includes state-of-the-art Vector Autoregressive models with Minnesota priors and a flexible structure of the error term specification. The model ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results