Methods and Applications of Algorithmic Complexity: Beyond Statistical Lossless
169,29 €
Therefore, model-driven approaches are needed. Recent advances in network science suggest that algorithmic information theory could play an increasingly important role in breaking those limits imposed by traditional statistical analysis (entropy or statistical compression) in modeling evolving complex networks or interacting networks.
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