Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Frederick C Harris"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Transformers have achieved remarkable performance in multivariate time series(MTS) forecasting due to their capability to capture long-term dependencies. However, the canonical attention mechanism has two key limitations: (1) its quadratic t
Externí odkaz:
https://doaj.org/article/ce8731616886488680bab94558cdf0cf
Publikováno v:
Machine Learning with Applications, Vol 18, Iss , Pp 100595- (2024)
The heat from wildfires volatilizes soil’s organic compounds which form a waxy layer when condensed on cooler soil particles causing soil to repel water. Timely assessment of soil water repellency (SWR) is critical for prediction and prevention of
Externí odkaz:
https://doaj.org/article/ee06597b3c3049e9b15bfa283e5dfd16
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Multivariate time series forecasting is a critical problem in many real-world scenarios. Recent advances in deep learning have significantly enhanced the ability to tackle such problems. However, a primary challenge in time series forecastin
Externí odkaz:
https://doaj.org/article/31058f0dc6b54b98bee23e787988fe4e
Publikováno v:
IEEE Access, Vol 12, Pp 14731-14741 (2024)
Multivariate Time Series (MTS) forecasting entails the intricate process of modeling temporal dependencies within historical data records. Transformers have demonstrated remarkable performance in MTS forecasting due to their capability to capture lon
Externí odkaz:
https://doaj.org/article/669ecc530da4496e88b22ce6416ae61f
Publikováno v:
Frontiers in Neuroinformatics, Vol 7 (2013)
Computational Neuroscience is an emerging field that provides unique opportunities to studycomplex brain structures through realistic neural simulations. However, as biological details are added tomodels, the execution time for the simulation becomes
Externí odkaz:
https://doaj.org/article/240fa2b52b0d497e896a6286226b6303
Autor:
Corey Michael Thibeault, Kirill eMinkovich, Michael John O'Brien, Frederick C Harris, Narayan eSrinivasa
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2013)
Efficiently passing spiking messages in a neural model is an important aspect of high-performance simulation. As the scale of networks has increased so has the size of the computing systems required to simulate them. In addition, the information exch
Externí odkaz:
https://doaj.org/article/4c2c316dd38a4f70a04d43f5dbd7b628
Autor:
Laurence C Jayet Bray, Gareth B Ferneyhough, Corey M Thibeault, Devyani eTanna, Emily R Barker, Frederick C Harris
Publikováno v:
Frontiers in Neurorobotics, Vol 7 (2013)
Reward-based learning can easily be applied to reallife with a prevalence in teaching methods for children. It alsoallows machines and software agents to automatically determinethe ideal behavior from a simple reward feedback (e.g. encouragement) to
Externí odkaz:
https://doaj.org/article/792fdc4e21594c80b9a3a2fabd02d067
Publikováno v:
Frontiers in Neural Circuits, Vol 4 (2010)
Hippocampal place cells and the precession of their extracellularly recorded spiking during traversal of a place field are well-established phenomena. More recent experiments describe associated entorhinal grid cell firing, but to date only conceptua
Externí odkaz:
https://doaj.org/article/c11972361fa2408a9041e60cf68783b7
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background The advance in single-cell RNA sequencing technology has enhanced the analysis of cell development by profiling heterogeneous cells in individual cell resolution. In recent years, many trajectory inference methods have been develo
Externí odkaz:
https://doaj.org/article/c84c588183414c7686c76ee96357d8c7
Publikováno v:
Data Intelligence, Vol 5, Iss 1, Pp 139-162 (2023)
ABSTRACTRecently artificial intelligence (AI) and machine learning (ML) models have demonstrated remarkable progress with applications developed in various domains. It is also increasingly discussed that AI and ML models and applications should be tr
Externí odkaz:
https://doaj.org/article/31788248884849899499d454be86204b