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mutual information called the excess entropy---an information theoretic measure of memory---serves to detect ordered, low … entropy density patterns. It is superior in many respects to other functions used to probe the structure of a configuration …
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Entropy as a measure of complexity in the systems has been applied for ranking the words in the human written texts. We … features for word ranking in the text. This work recommend the entropy as a systematic measure in text mining. …
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This study introduces the constrained forms of the Shannon information entropy and Kullback–Leibler cross-entropy … outcome or state relative to its local maximum entropy (or minimum cross-entropy) position, independently of the other states … of the system. The Shannon entropy and Kullback–Leibler cross-entropy functions do not possess this functionality. The …
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in two sites and for the half-filled band on a one-dimensional lattice. We show that the form of the entropy depends on …
Persistent link: https://www.econbiz.de/10010874837
Computational mechanics, an approach to structural complexity, defines a process's causal states and gives a procedure for finding them. We show that the causal-state representation--an e-machine--is the minimal one consistent with accurate prediction. We establish several results on e-machine...
Persistent link: https://www.econbiz.de/10005837697
Anecdotal data affirms that companies applying Lean Six Sigma in their operations not only deliver higher quality products and services, but also obtain superior financial results. The goal of this research was to empirically verify anecdotal data. The study proposed to analyze a group of...
Persistent link: https://www.econbiz.de/10009457236