The advent of large scale multi-hop wireless networks highlights problems of fault tolerance and scale in distributed system, motivating designs that autonomously recover from tra...
The EM algorithm is widely used to estimate the parameters of many applications. It is simple but the convergence speed is slow. There is another algorithm called the scoring metho...
— This work studies how the randomized gossip algorithm can solve the average consensus problem on networks with quantized communications. The algorithm is proved to converge to ...
Paolo Frasca, Ruggero Carli, Fabio Fagnani, Sandro...
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...