Cardiac effects of a new cardiotonic drugs, MDL 17,043 and MDL 19,205

MDL Regularizer: A New Regularizer based on the MDL Principle

This paper proposes a new regularization method based on the MDL (Minimum Description Length) principle. An adequate precision weight vector is trained by approximately truncating the maximum likelihood weight vector. The main advantage of the proposed regularizer over existing ones is that it automatically determines a regularization factor without assuming any specific prior distribution with...

MDL Denoising

The so-called denoising problem, relative to normal models for noise, is formalized such that`noise' is deened as the incompressible part in the data while the compressible part deenes the meaningful information bearing signal. Such a decomposition is eeected by minimization of the ideal code length, called for by the Minimum Description Length (MDL) principle, and obtained by an application of...

In vitro activities of three semisynthetic amide derivatives of teicoplanin, MDL 62208, MDL 62211, and MDL 62873.

MDL 62208, MDL 62211, and MDL 62873 are three semisynthetic amide derivatives of teicoplanin (MDL 62208 is an amide of teicoplanin aglycone, MDL 62211 is an amide of the teicoplanin A2 complex, and MDL 62873 is the corresponding derivative of peak A2-2 of the complex). The three semisynthetic glycopeptides were evaluated for in vitro antibacterial activity in comparison with the parent drug (te...

PAC-MDL Bounds

Extensions to MDL denoising

The minimum description length principle in wavelet denoising can be extended from the standard linear-quadratic setting in several ways. We describe briefly three extensions: soft thresholding, histogram modeling and a multicomponent approach. The MDL hard thresholding approach based on the normalized maximum likelihood universal modeling can be extended to include soft thresholding shrinkage,...