Results 21 to 30 of about 3,571 (240)
An Algorithmic Complexity Interpretation of Lin's Third Law of Information Theory
Entropy, 2008 Instead of static entropy we assert that the Kolmogorov complexity of a static structure such as a solid is the proper measure of disorder (or chaoticity).
Joel Ratsaby
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Life as Thermodynamic Evidence of Algorithmic Structure in Natural Environments
Entropy, 2012 In evolutionary biology, attention to the relationship between stochastic organisms and their stochastic environments has leaned towards the adaptability and learning capabilities of the organisms rather than toward the properties of the environment ...
David A. Rosenblueth +3 more
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Cryptography and Algorithmic Randomness [PDF]
Theory of Computing Systems, 2014 34 pages, LaTeX2e, no ...
Tadaki, Kohtaro, Doi, Norihisa
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RANDOMNESS, UNCERTAINTY, AND COGNITIVE FREEDOM IN THE DATA SOCIETY
Вісник Харківського національного університету імені В.Н. Каразіна. Серия: Теорія культури та філософіі наукиThe modern era of Big Data, in which massive volumes of information and predictive analytics serve as tools for forecasting human behavior, challenges the very notion of free will and personal autonomy.
Kostiantyn Suspitsyn
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Bitslice Masking and Improved Shuffling:
Transactions on Cryptographic Hardware and Embedded Systems, 2022 We revisit the popular adage that side-channel countermeasures must be combined to be efficient, and study its application to bitslice masking and shuffling. Our main contributions are twofold. First, we improve this combination: by shuffling the shares
Melissa Azouaoui +3 more
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Random forest missing data algorithms [PDF]
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2017 Random forest (RF) missing data algorithms are an attractive approach for imputing missing data. They have the desirable properties of being able to handle mixed types of missing data, they are adaptive to interactions and nonlinearity, and they have the potential to scale to big data settings.
Tang, Fei, Ishwaran, Hemant
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
AN ALGORITHMIC INFORMATION THEORY CHALLENGE TO INTELLIGENT DESIGN
Zygon, 2014 William Dembski claims to have established a decision process to determine when highly unlikely events observed in the natural world are due to Intelligent Design.
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COARSE REDUCIBILITY AND ALGORITHMIC RANDOMNESS [PDF]
The Journal of Symbolic Logic, 2016 AbstractA coarse description of a set A ⊆ ω is a set D ⊆ ω such that the symmetric difference of A and D has asymptotic density 0. We study the extent to which noncomputable information can be effectively recovered from all coarse descriptions of a given set A, especially when A is effectively random in some sense.
Hirschfeldt, Denis R. +3 more
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Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source