The expectation-maximization (EM) algorithm for maximizing likelihood functions, combined with the Viterbi algorithm, is applied to the problem of sequence detection when symbol timing information is ...

Zakkour, A., Perret, C. and Slaoui, Y. (2023) Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data. Entropy, 25, Article ...

The influence maximization problem is aimed at finding a small subset of nodes in a social./network to maximize the expected number of nodes influenced by these nodes. Influence maximization plays an ...

Multi-agent task allocation method based on cost-effectiveness maximization multi-round auction algorithm Provisionally accepted ...

In Exceptions sub-chapter of Getting Started, the complete example uses incorrect type for the semihosted stdout stream. The example uses use hio::HStdout instead of hio::HostStream which should be ...