Results 121 to 130 of about 449,948 (311)
Computability, Complexity and Randomness [PDF]
Theory of Computing Systems, 2012 This special issue of Theory or Computing Systems consists of papers associated with the 6th Annual CCR conference held in beautiful Cape Town, 31st January– February 4th 2011. The conference series is devoted to issues around algorithmic information theory, Kolmogorov complexity, and their relationship with computability theory, complexity theory ...
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Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Complexity Classification of Conjugated Clifford Circuits [PDF]
, 2018 Clifford circuits - i.e. circuits composed of only CNOT, Hadamard, and pi/4 phase gates - play a central role in the study of quantum computation. However, their computational power is limited: a well-known result of Gottesman and Knill states that ...
Bouland, Adam +2 more
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Computational complexity, algorithmic scope, and evolution
Journal of Physics: ComplexityBiological systems are widely regarded as performing computations. It is much less clear, however, what exactly is computed and how biological computation fits within the framework of standard computer science.
Leonhard Sidl +7 more
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Computational complexity drives sustained deliberation. [PDF]
Nat Neurosci, 2023 Hong T, Stauffer WR.
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Entropy as Computational Complexity
Journal of Information Processing, 2010 If the given problem instance is partially solved, we want to minimize our effort to solve the problem using that information. In this paper we introduce the measure of entropy, H (S), for uncertainty in partially solved input data S (X) = (X1, . . . , Xk), where X is the entire data set, and each Xi is already solved.
Takaoka, Tadao, Nakagawa, Yuji
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Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1
FEBS Open Bio, EarlyView.The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay +2 more
wiley +1 more source
Learning pressures reduce morphological complexity: : Linking corpus, computational and experimental evidence [PDF]
, 2016 The morphological complexity of languages differs widely and changes over time. Pathways of change are often driven by the interplay of multiple competing factors, and are hard to disentangle.
Bentz, Christian +1 more
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Membrane Fission: A Computational Complexity Perspective [PDF]
, 2016 Membrane fission is a process by which a biological membrane is split into two new ones in the manner that the content of the initial membrane is separated and distributed between the new membranes.
Macías Ramos, Luis Felipe +9 more
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Computational Complexity and Its Influence on Predictive Capabilities of Machine Learning Models for Concrete Mix Design. [PDF]
Materials (Basel), 2023 Ziolkowski P.
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