Based on Relevance Vector Machine, Sparse Bayesian, a kind of kernel method, which has the advantages such as its kernel functions without the restriction of Mercer condition, the relevance vectors automatically determinated, and smaller kernel functions, the smoothness priors restriction on Relevance Vector Machine (RVM) is suggested.

Starting from Bayes sparse inversion theory, the paper adopted modified Cauchy criterion to build up reflectivity sparse constraint and carry out seismic blind deconvolution processing in combination with math frame of seismic blind deconvolution presented by Mr.

Range profile-based radar target recognition using discretized Bayes classifying algorithm;

Study on spam email treatment model based on Bayesian method;

The Application of Support Vector Machines Within Bayesian Evidence Framework to Drift Prediction of Gyro;

Resolution of the Evolutionary Rel ationship of Papillomaviruses Using Bayesian Phylogenetics;

Bayesian Linear Calibrated Prediction Approach in Warhead Virtual Experiment;

People detection under Bayesian framework;