Results 41 to 50 of about 8,125 (267)

Hybrid Slime Mold and Arithmetic Optimization Algorithm with Random Center Learning and Restart Mutation

Biomimetics, 2023
The slime mold algorithm (SMA) and the arithmetic optimization algorithm (AOA) are two novel meta-heuristic optimization algorithms. Among them, the slime mold algorithm has a strong global search ability.
Hongmin Chen, Zhuo Wang, Heming Jia, Xindong Zhou, Laith Abualigah   +4 more
doaj   +1 more source

Stochastic Safety Radius on UPGMA

Algorithms, 2022
Unweighted Pair Group Method with Arithmetic Mean (UPGMA) is one of the most popular distance-based methods to reconstruct an equidistant phylogenetic tree from a distance matrix computed from an alignment of sequences.
Ruriko Yoshida, Lillian Paul, Peter Nesbitt   +2 more
doaj   +1 more source

Stochastic rounding: implementation, error analysis and applications

Royal Society Open Science, 2022
Stochastic rounding (SR) randomly maps a real number x to one of the two nearest values in a finite precision number system. The probability of choosing either of these two numbers is 1 minus their relative distance to x.
Matteo Croci, Massimiliano Fasi, Nicholas J. Higham, Theo Mary, Mantas Mikaitis   +4 more
doaj   +1 more source

Learning from low precision samples

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
With advances in edge applications in industry and healthcare, machine learning models are increasingly trained on the edge. However, storage and memory infrastructure at the edge are often primitive, due to cost and real-estate constraints.
Ji In Choi, Madeleine Georges, Jung Ah Shin, Olivia Wang, Tiffany Zhu, Tapan Shah   +5 more
doaj   +1 more source

Computational Analysis of stochastic arithmetic computing and stochastic activation function

Journal of Physics: Conference Series, 2022
Abstract Stochastic Number Generators (SNG) plays a significant role in designing a stochastic computing system. SNGs make the stochastic system comfortable for computing in the stochastic domain. The challenges in developing the stochastic computing system are correlation and hardware area occupancy.
P Ashok, B. Bala Tripura Sundari
openaire   +1 more source

ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for\n In-DRAM CNN Processing [PDF]

, 2021
Supreeth Mysore Shivanandamurthy, Ishan Thakkar, Sayed Ahmad Salehi   +2 more
openalex   +2 more sources

Acceleration of Digital Stochastic Measurement Simulation Based on Concurrent Programming

Elektronika ir Elektrotechnika, 2018
A/D conversion methods improved through stochastic signal superposition, along with oversampling techniques present significant research direction in the area of signal processing and measurement.
Velibor Pjevalica, Nebojsa Pjevalica, Ivan Kastelan, Nenad Petrovic   +3 more
doaj   +1 more source

Histogram Ordering

IEEE Access, 2021
Frequency histograms are ubiquitous, being practically used in any field of science. In this paper, we present a partial order for frequency histograms and, to our knowledge, no order of this kind has been yet defined.
Mateu Sbert, Cosmin Ancuti, Codruta O. Ancuti, Jordi Poch, Shuning Chen, Marius Vila   +5 more
doaj   +1 more source

Completely Positive, Simple, and Possibly Highly Accurate Approximation of the Redfield Equation [PDF]

Quantum, 2020
Here we present a Lindblad master equation that approximates the Redfield equation, a well known master equation derived from first principles, without significantly compromising the range of applicability of the Redfield equation.
Dragomir Davidović
doaj   +1 more source

Towards hardware acceleration of neuroevolution for multimedia processing applications on mobile devices [PDF]

, 2006
This paper addresses the problem of accelerating large artificial neural networks (ANN), whose topology and weights can evolve via the use of a genetic algorithm.
Daniel Larkin, O'Connor, Noel E., Larkin, Daniel, Andrew Kinane, O\u27Connor, Noel E., Noel O’Connor, Kinane, Andrew   +6 more
core   +1 more source