Results 181 to 190 of about 3,424,284 (379)
Epilepsia Open, EarlyView.Abstract Spatial memory, the aspect of memory involving encoding and retrieval of information regarding one's environment and spatial orientation, is a complex biological function incorporating multiple neuronal networks. Hippocampus‐dependent spatial memory is not innate and emerges during development in both humans and rodents.
Gregory L. Holmes
wiley +1 more source
A Consistent Semantics of Self-adjusting Computation [PDF]
, 2007 Umut A. Acar, M. Blume, Jacob Donham
openalex +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT Insulators, as a key component of the power system, their low‐value defect detection is of great significance to ensure the safe and stable operation of the power system. However, traditional detection methods have many shortcomings in the face of a complex environment and small target recognition.
Shaotong Pei +6 more
wiley +1 more source
Stagewise Accelerated Stochastic Gradient Methods for Nonconvex Optimization
MathematicsFor large-scale optimization that covers a wide range of optimization problems encountered frequently in machine learning and deep neural networks, stochastic optimization has become one of the most used methods thanks to its low computational complexity.
Cui Jia, Zhuoxu Cui
doaj +1 more source
Some fundamental algebraic tools for the semantics of computation
, 1984 Joseph A. Goguen, R. M. Burstall
openalex +1 more source
Computational semantics in clinical text supplement. [PDF]
Biomed Inform Insights, 2013 Pestian JP.
europepmc +1 more source
A hitchhiker's guide to single‐cell epigenomics: Methods and applications for cancer research
International Journal of Cancer, EarlyView.Abstract Genetic mutations are well known to influence tumorigenesis, tumor progression, treatment response and relapse, but the role of epigenetic variation in cancer progression is still largely unexplored. The lack of epigenetic understanding in cancer evolution is in part due to the limited availability of methods to examine such a heterogeneous ...
Marta Moreno‐Gonzalez +2 more
wiley +1 more source
A Learning Model with Memory in the Financial Markets
International Journal of Finance &Economics, EarlyView.ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh +6 more
wiley +1 more source
DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal Learning [PDF]
arXivThere has long been a belief that high-level semantics learning can benefit various downstream computer vision tasks. However, in the low-light image enhancement (LLIE) community, existing methods learn a brutal mapping between low-light and normal-light domains without considering the semantic information of different regions, especially in those ...
arxiv
Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso
International Journal of Finance &Economics, EarlyView.ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes +4 more
wiley +1 more source