[HTML][HTML] Machine learning techniques and data for stock market forecasting: A literature review
In this literature review, we investigate machine learning techniques that are applied for
stock market prediction. A focus area in this literature review is the stock markets …
stock market prediction. A focus area in this literature review is the stock markets …
Mixture of experts: a literature survey
Mixture of experts (ME) is one of the most popular and interesting combining methods, which
has great potential to improve performance in machine learning. ME is established based on …
has great potential to improve performance in machine learning. ME is established based on …
Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data
YS Lee, SB Cho - Neurocomputing, 2014 - Elsevier
As the number of smartphone users has grown recently, many context-aware services have
been studied and launched. Activity recognition becomes one of the important issues for …
been studied and launched. Activity recognition becomes one of the important issues for …
A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth
Forecasting tumor progression and assessing the uncertainty of predictions play a crucial
role in clinical settings, especially for determining disease outlook and making informed …
role in clinical settings, especially for determining disease outlook and making informed …
Object detection using convolutional neural networks and transformer-based models: a review
S Shah, J Tembhurne - Journal of Electrical Systems and Information …, 2023 - Springer
Transformer models are evolving rapidly in standard natural language processing tasks;
however, their application is drastically proliferating in computer vision (CV) as well …
however, their application is drastically proliferating in computer vision (CV) as well …
Accelerating chemical kinetics calculations with physics informed neural networks
Detailed chemical kinetics calculations can be very computationally expensive, and so
various approaches have been used to speed up combustion calculations. Deep neural …
various approaches have been used to speed up combustion calculations. Deep neural …
Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange
A new method for forecasting the trend of time series, based on mixture of MLP experts, is
presented. In this paper, three neural network combining methods and an Adaptive Network …
presented. In this paper, three neural network combining methods and an Adaptive Network …
Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron
Gait has been shown to be an efficient biometric feature for human identification at a
distance. However, performance of gait recognition can be affected by view variation. This …
distance. However, performance of gait recognition can be affected by view variation. This …
Non-linear heterogeneous ensemble model for permeability prediction of oil reservoirs
The ensemble computational model, which uses machine learning techniques to learn
partial solutions of a given problem and combines the solutions to obtain a complete …
partial solutions of a given problem and combines the solutions to obtain a complete …
[PDF][PDF] Diversity and regularization in neural network ensembles
H Chen - 2008 - delta.cs.cinvestav.mx
In this thesis, we present our investigation and developments of neural network ensembles,
which have attracted a lot of research interests in machine learning and have many fields of …
which have attracted a lot of research interests in machine learning and have many fields of …