Subsequently, an adaptive transition probability-based parallel IMM algorithm is proposed in this paper. Finally, three maneuvering target tracking simulations are conducted to verify the performance ...

Markov Decision Process,Parallelization,State Transition Probability,Transition Probabilities,Transition Probability Matrix,Transition State,Addition Operations ...

% computes a matrix of transition probability. % pr_trans = 27 x 27 matrix, where pr_trans(i, j) = probability j-th letter in the alphabet occurs immediately after i-th letter in the alphabet % e.g., ...

Transition probabilities are simply the probabilities of staying in the same state or moving to a different state given the current state. The probability transition matrix used is available at data/Q ...

Graph visualization of the weighted and directed labor market network derived from the transition probability matrix, computed from data spanning the years 2012 to 2020. Each node symbolizes an ...

We further provide the theoretical connections between skip-gram based network embedding algorithms and the theory of graph Laplacian. Finally, we present the NetMF method as well as its approximation ...