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Kolmogorov complexity
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Theory of Computation: Lecture 19. The main topics covered in this lesson include: a definition of information; minimal length descriptions; descriptive complexity; Kolmogorov complexity and 2 Kolmogorov-Chaitin complexity; optimality of definition;...
40p
andromedashun
26-05-2022
3
1
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Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segment and track the live cells.
10p
vikentucky2711
26-11-2020
10
0
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The single decision tree gives best results for minority classes, cost metric and global accuracy compared with the bagged boosting of trees of the KDDCup’99 winner and classical decision tree algorithms using the Shannon entropy. In contrast to the complex model of KDDCup winner, our decision tree represents inductive rules (IF-THEN) that facilitate human interpretation.
12p
dannisa
14-12-2018
25
0
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A Kolmogorov Complexity Approach for Measuring Attack Path Complexity includes Motivation, The Kolmogorov Complexity Method (KCM), The K-step Capability Accumulation Metric (KCA), Applying KCM to KCA and something else.
21p
cocacola_17
11-12-2015
35
2
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Following a brief introduction and overview, early chapters cover the basic algebraic relationships of entropy, relative entropy and mutual information, AEP, entropy rates of stochastics processes and data compression, duality of data compression and the growth rate of wealth. Later chapters explore Kolmogorov complexity, channel capacity, differential entropy, the capacity of the fundamental Gaussian channel, the relationship between information theory and statistics, rate distortion and network information theories.
0p
hiepkhach_1006
10-09-2013
66
5
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