Results 31 to 40 of about 55,495 (230)
node2vec: Scalable Feature Learning for Networks [PDF]
Knowledge Discovery and Data Mining, 2016 Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progress in automating prediction by ...
Aditya Grover, J. Leskovec
semanticscholar +1 more source
Quantum algorithmic entropy [PDF]
Proceedings 16th Annual IEEE Conference on Computational Complexity, 2000 Extends algorithmic information theory to quantum mechanics, taking a universal semi-computable density matrix ("universal probability") as a starting point, and defines complexity (an operator) as its negative logarithm.
P. Gács
semanticscholar +1 more source
Constructive Dimension and Turing Degrees
, 2009 This paper examines the constructive Hausdorff and packing dimensions of Turing degrees. The main result is that every infinite sequence S with constructive Hausdorff dimension dim_H(S) and constructive packing dimension dim_P(S) is Turing equivalent to ...
A.M. Turing +24 more
core +3 more sources
Extracting the Kolmogorov Complexity of Strings and Sequences from Sources with Limited Independence [PDF]
, 2009 An infinite binary sequence has randomness rate at least $\sigma$ if, for almost every $n$, the Kolmogorov complexity of its prefix of length $n$ is at least $\sigma n$.
Zimand, Marius
core +6 more sources
Fractal and Fractional, 2019 Fractal dimension (FD) is a critical parameter in the characterization of a rock fracture network system. This parameter represents the distribution pattern of fractures in rock media.
R. Basirat, K. Goshtasbi, M. Ahmadi
semanticscholar +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Scientific ReportsThe growing urgency for low-carbon lifestyles necessitates developing effective strategies to promote sustainable consumer choices. This study investigates key dimensions of information quality that shape consumer behavior within digital marketing to achieve this goal.
Weiji Gao +3 more
openaire +3 more sources
Effective Capacity and Randomness of Closed Sets
, 2010 We investigate the connection between measure and capacity for the space of nonempty closed subsets of {0,1}*. For any computable measure, a computable capacity T may be defined by letting T(Q) be the measure of the family of closed sets which have ...
Douglas Cenzer +3 more
core +2 more sources
Analysis of Daily Streamflow Complexity by Kolmogorov Measures and Lyapunov Exponent [PDF]
, 2018 Analysis of daily streamflow variability in space and time is important for water resources planning, development, and management. The natural variability of streamflow is being complicated by anthropogenic influences and climate change, which may ...
Arsenić, Ilija +6 more
core +2 more sources
Barren plateaus in quantum neural network training landscapes [PDF]
Nature Communications, 2018 Many experimental proposals for noisy intermediate scale quantum devices involve training a parameterized quantum circuit with a classical optimization loop.
J. McClean +4 more
semanticscholar +1 more source