Results 311 to 320 of about 22,856,606 (379)

Care complexity and inequities in caregiving time for undiagnosed infants and toddlers with special health care needs: a cross-sectional study in Japan. [PDF]

Int J Equity Health
Nonoyama T, Tamakoshi K, Niinomi K.
europepmc   +1 more source

A novel swarm intelligence optimization method for efficient task allocation in industrial wireless sensor networks. [PDF]

Sci Rep
Wang C, Yu F, Cao Q, Pan Y.
europepmc   +1 more source

Assembly theory and its relationship with computational complexity. [PDF]

Npj Complex
Kempes CP, Lachmann M, Iannaccone A, Matthew Fricke G, Redwan Chowdhury M, Walker SI, Cronin L.   +6 more
europepmc   +1 more source

Action subsampling supports policy compression in large action spaces. [PDF]

PLoS Comput Biol
Liu S, Gershman SJ.
europepmc   +1 more source

A network recovery strategy based on boundary nodes and tetrahedral approximation fermat points in three-dimensional wireless sensor networks. [PDF]

Sci Rep
Xu B, Chen H, Cheng Y.
europepmc   +1 more source

Quantum Thinking in Graduate Medical Education: Transforming Minds, Methods, and Possibilities. [PDF]

J Grad Med Educ
Surapaneni KM.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Complexity and Time

SSRN Electronic Journal, 2023
Abstract A large literature shows that people’s valuation of delayed financial rewards violates exponential discounting, exhibiting a hyperbolic pattern: high short-run impatience that strongly decreases in the length of the delay. We test the hypothesis that the hyperbolic pattern in measured discount rates over money reflects mistakes ...
Benjamin Enke, Thomas Graeber, Ryan Oprea   +2 more
openaire   +2 more sources

Time Complexity of In-Memory Matrix-Vector Multiplication

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021
Matrix-vector multiplication (MVM) is the core operation of many important algorithms. Crosspoint resistive memory array enables naturally calculating MVM in one operation, thus representing a highly promising computing accelerator for various ...
Zhong Sun, Ru Huang
semanticscholar   +1 more source

The Time Complexity Analysis of Neural Network Model Configurations

2020 International Conference on Mathematics and Computers in Science and Engineering (MACISE), 2020
The neural network algorithms, such as the deep-learning approach, have been widely applied in dealing with the computer vision problems. The more sophisticated the neural network model is designed; the more computing resources and processing time will ...
Rich C. Lee, Ing-Yi Chen
semanticscholar   +1 more source