Abstract: Inducing-point-based sparse variational approximation scales Gaussian process models to large datasets but tends to overestimate observation noise and underestimate posterior variance.
#include "third_party/skia/include/core/SkSize.h" #include "third_party/skia/include/core/SkTypes.h" SK_API unsigned char SingleChannelRecursiveGaussianX(const ...
This Python package implements semideterministic subspace selection (SDSS) to improve sparse recursive projection-aggregation decoding (SRPA) of Reed-Muller (RM) codes, as proposed in the article ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results