Results 31 to 40 of about 3,951 (305)
Does money matter in inflation forecasting?. [PDF]
, 2010 This paper provides the most fully comprehensive evidence to date on whether or not monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s.
G. Kendall +26 more
core +1 more source
Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks
International Journal of Computational Intelligence Systems, 2020 Pacemaker logs are used to predict the progression of paroxysmal cardiac arrhythmia to permanent atrial fibrillation by means of different deep learning algorithms. Recurrent Neural Networks are trained on data produced by a generative model.
Nahuel Costa +3 more
doaj +1 more source
IET Smart Grid, 2022 The automated identification and localisation of grid disturbances is a major research area and key technology for the monitoring and control of future power systems.
André Kummerow +2 more
doaj +1 more source
Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks [PDF]
Biological Cybernetics, 2012 Recurrent neural networks (RNNs) are widely used in computational neuroscience and machine learning applications. In an RNN, each neuron computes its output as a nonlinear function of its integrated input. While the importance of RNNs, especially as models of brain processing, is undisputed, it is also widely acknowledged that the computations in ...
Sebastian Bitzer, Stefan J. Kiebel
openaire +4 more sources
Cross refinement network with edge detection for salient object detection
IET Signal Processing, 2021 Salient object detection aims to identify the most attractive objects from images. However, their boundaries are typically of poor quality when predicted using available methods.
Junjiang Xiang +4 more
doaj +1 more source
A BiLSTM cardinality estimator in complex database systems based on attention mechanism
CAAI Transactions on Intelligence Technology, 2022 An excellent cardinality estimation can make the query optimiser produce a good execution plan. Although there are some studies on cardinality estimation, the prediction results of existing cardinality estimators are inaccurate and the query efficiency ...
Qiang Zhou +8 more
doaj +1 more source
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
CoRR, 2017 9 pages.
Eric Martin, Chris Cundy
openaire +3 more sources
A comprehensive framework from real‐time prognostics to maintenance decisions
IET Collaborative Intelligent Manufacturing, 2021 Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the
Amit Kumar Jain +4 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, 2021 The problem of automatic and accurate forecasting of time‐series data has always been an interesting challenge for the machine learning and forecasting community.
Rohit Kaushik +3 more
doaj +1 more source
Evolutionary optimization of echo state networks: multiple motor pattern learning
, 2010 Krause AF, Dürr V, Bläsing B, Schack T. Evolutionary optimization of echo state networks: multiple motor pattern learning. In: Artificial neural networks and intelligent information processing : proceedings of the 6th International Workshop on ...
Krause, André Frank +3 more
core +1 more source