Results 31 to 40 of about 86,318 (259)
Approximate Bayesian computational methods [PDF]
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Jean-Michel Marin +3 more
openaire +4 more sources
MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing
Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (e.g., area, latency, and power) design for a given quality constraint and vice versa.
G. A. Gillani +5 more
doaj +1 more source
Machine Learning Using Approximate Computing
Approximate computation has emerged as a promising alternative to accurate computation, particularly for applications that can tolerate some degree of error without significant degradation of the output quality.
Padmanabhan Balasubramanian +2 more
doaj +1 more source
Accurate Sampling with Noisy Forces from Approximate Computing
In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption ...
Varadarajan Rengaraj +3 more
doaj +1 more source
Approximate Computing: Concepts, Architectures, Challenges, Applications, and Future Directions
The unprecedented progress in computational technologies led to a substantial proliferation of artificial intelligence applications, notably in the era of big data and IoT devices.
Ayad M. Dalloo +3 more
doaj +1 more source
Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling
Ubiquitous computing and the ever-rising need for energy efficiency pose challenges in terms of the processing requirements and the corresponding machine complexity.
Ren Li +3 more
doaj +1 more source
Computing approximate PSD factorizations
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Amitabh Basu +2 more
openaire +4 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
ABCpy is a highly modular scientific library for approximate Bayesian computation (ABC) written in Python. The main contribution of this paper is to document a software engineering effort that enables domain scientists to easily apply ABC to their ...
Ritabrata Dutta +7 more
doaj +1 more source
ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger +7 more
wiley +1 more source

