Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Abstract. Design patterns provide solutions to recurring design problems in object-oriented programming. Design patterns typically crosscut class boundaries so previous work aimed ...
Abstract—We compare some block equalizers for singlecarrier satellite systems subject to hard propagation conditions such as high Doppler spread, non-line-of-sight (NLOS), and no...
Abstract— In recent years performance prediction for communication systems utilizing iteratively decodable codes has been of considerable interest. There have been significant b...