minimum description length造句
例句與造句
- Prediction and compression are intimately linked using Minimum Description Length Principles.
- Later Jorma Rissanen developed the minimum description length circa 1978.
- This is the thesis behind the Minimum message length and Minimum description length methods.
- This is closely related to the principles of algorithmic information theory and minimum description length.
- The minimum description length ( MDL ) principle has been developed from ideas in information theory and the theory of Kolmogorov complexity.
- It's difficult to find minimum description length in a sentence. 用minimum description length造句挺難的
- In the minimum description length approach to statistics the goal is to describe data as compactly as possible where the length of a description is measured in bits of the code used.
- Objective prior distributions may also be derived from other principles, such as information or coding theory ( see e . g . minimum description length ) or frequentist statistics ( see frequentist matching ).
- For example, in the Chaitin minimum description length approach, the subject must pick a Turing machine whose operations describe the basic operations " believed " to represent " simplicity " by the subject.
- "' Jorma J . Rissanen "'( born 20 October 1932 ) is an information theorist, known for inventing the arithmetic coding technique of lossless data compression, and the minimum description length principle.
- It serves as the foundation of the Minimum Description Length ( MDL ) principle, can simplify proofs in computational complexity theory, has been used to define a universal similarity metric between objects, solves the Maxwell daemon problem, and many others.
- Furthermore, just as the later-proposed minimum description length principle in algorithmic information theory ( AIT ), a . k . a . the theory of Kolmogorov complexity, it can be seen as a formalization of Occam's Razor, according to which the simplest interpretation of data is the best one.
- Lindeberg and Li developed an integrated method that segments edges into straight and curved edge segments for parts-based object recognition, based on a minimum description length ( M DL ) criterion that was optimized by a split-and-merge-like method with candidate breakpoints obtained from complementary junction cues to obtain more likely points at which to consider partitions into different segments.