Minimum Description Length (MDL)MDL is the principle frequently used in characterizing macromolecular sequence information. The best principle is that uses the least number of bits for the theory and the data. L(T) indicates the...doi:10.1007/978-1-4020-6754-9_10460B HMMs...
最小描述长度(Minimum description length):当构成一个假设时,试图去最小化其假设的描述长度。假设越简单,越可能为 … zh.wikipedia.org|基于25个网页 2. 最小描述长度准则 缩略语 MDL 的查询结果 ...minimum description length最小描述长度准则minimum description length 最短描述长度 ... ...
2) minimum description length 最小描述长度 1. Based on information theory andminimum description length(MDL) principle, a novel parameter estimation and selection approach are presented. 基于最小描述长度原理,提出了一种新的参数筛选估计方法。
The minimum description length (MDL) principle states that one should prefer the model that yields the shortest description of the data when the complexity of the model itself is also accounted for. MDL provides a versatile approach to statistical modeling. It is applicable to model selection and ...
Length (MDL) principle is a beet established criterion, which selects the best model with the minimal length of jointly encoding the data and the model. Although in terms of probability, MDL criterion is equivalent to the Maximum Aposterior Probability (MAP) criterion, it is advantageous at ...
Section 1 introduces feature selection for regression, focusing on ell_0 regularization methods and their interpretation within a Minimum Description Length (MDL) framework. Section 2 proposes a novel extension of MDL feature selection to the multitask setting. The approach, called the "Multiple ...
2) minimum description length 最小描述长度 1. Based on information theory and minimum description length (MDL) principle, a novel parameter estimation and selection approach are presented. 基于最小描述长度原理,提出了一种新的参数筛选估计方法。 2. To choose the contour points of points ...
Another aspect addressed by the present invention involves the pruning of the originally generated decision tree to obtain a compact and accurate classifier, based on the Minimum Description Length (MDL) principle. Generally, the MDL principle states that the best model for encoding data is the one...
We view the problem of image registration as one of learning correspondences from a set of exemplar images (the registration set), and derive a minimum description length (MDL) objective function.We give a brief description of the MDL approach as applied to transmitting both single images and ...
Minimum description length (MDLCore consistency diagnostic (CORCONDIACANDECOMP/PARAFACTensor decomposition•The problem of CANDECOMP/PARAFAC (CP) model order selection is addressed.•Computational efficiency is achieved via matricization of a tensor.•Eigenvalues associated with the block or multi-mode...