Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
Oscillator phase noise (PN) in orthogonal frequency division multiplexing (OFDM) systems can cause severe performance degradation. In contrary to the assumptions made previously, r...
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem — a combinatorial optimization problem in integrated circuit design automation. F...