A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Filters
Reservoir Stack Machines
[article]
2021
arXiv
pre-print
In our experiments, we validate the reservoir stack machine against deep and shallow networks from the literature on three benchmark tasks for Neural Turing machines and six deterministic context-free ...
Our results show that the reservoir stack machine achieves zero error, even on test sequences longer than the training data, requiring only a few seconds of training time and 100 training sequences. ...
Then, in Section 3.1, we prove that a reservoir stack machine with a sufficiently rich reservoir can simulate any LR(1)-automaton, while the reservoir memory machine cannot. ...
arXiv:2105.01616v1
fatcat:e4xpr6re6vajtmukmec3xrp4oy
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams
2018
Machine Learning
We further incorporate two novel stacking-based drift detection methods, namely the FHDDMS and FHDDMS_add approaches. ...
We introduce the Tornado framework that implements a reservoir of diverse classifiers, together with a variety of drift detection algorithms. ...
In our current research, we implemented our Tornado framework on a single machine. ...
doi:10.1007/s10994-018-5719-z
fatcat:lkeartys4nfo3ko7epdwaxlksy
Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
2015
Applied Soft Computing
Support vector machines (SVM) is one of the promising machine learning tools that have performed excellently well in most prediction problems. ...
This paper proposes a stacked generalization ensemble model of SVM that incorporates different expert opinions on the optimal values of this parameter in the prediction of porosity and permeability of ...
Support vector machines (SVM) is one of the promising machine learning tools that have performed excellently well in most prediction problems. ...
doi:10.1016/j.asoc.2014.10.017
fatcat:wvbbqdx7wjhb3jgipveioxpwva
Page 58 of Institute of Transportation Engineers. ITE Journal Vol. 23, Issue 2
[page]
1952
Institute of Transportation Engineers. ITE Journal
of the other stack. ...
When one stack of Cages ts raised one floor, the adjacent stack is lowered one floor. ...
Page 58 of Institute of Transportation Engineers. ITE Journal Vol. 23, Issue 2
[page]
1952
Institute of Transportation Engineers. ITE Journal
of the other stack. ...
When one stack of cages is raised one floor, the adjacent stack is lowered one floor. ...
A comparative study of heterogeneous ensemble methods for the identification of geological lithofacies
2020
Journal of Petroleum Exploration and Production Technology
Mudstone reservoirs demand accurate information about subsurface lithofacies for field development and production. ...
Several data-driven machine learning models have been proposed in the literature to recognize mudstone lithofacies. ...
Several machine learning models have been proposed to extract the facies information of conventional reservoir using well logs data. ...
doi:10.1007/s13202-020-00839-y
fatcat:lh7w235d4zdwxmzl35nipzwtyy
Characterization of complex fluvio–deltaic deposits in Northeast China using multi-modal machine learning fusion
2020
Scientific Reports
First, acoustic-related seismic attributes from post-stack seismic data were used to characterize the reservoirs. ...
Data analysis involves a bio-integrated framework called multi-modal machine learning fusion (MMMLF) based on neural networks. ...
Therefore, machine learning data-based tools for predicting reservoir properties are effective. ...
doi:10.1038/s41598-020-70382-7
pmid:32770135
fatcat:qyd7rtoyvfhpraymdufllvnccu
A Novel Stacking Heterogeneous Ensemble Model with Hybrid Wrapper-Based Feature Selection for Reservoir Productivity Predictions
2021
Complexity
Therefore, this study developed a stacking heterogeneous ensemble model with a hybrid wrapper-based feature selection strategy to forecast reservoir productivity, resolve the overfitting problem, and improve ...
Acid fracturing is the most important stimulation method in the carbonate reservoir. ...
regressor (random forest, Gradient boosting tree, and support vector machine) for productivity forecasting of shale reservoirs and validated the performance of their proposed model on the data set with ...
doi:10.1155/2021/6675638
fatcat:gneqczmmfngwhovgyom3kmk3la
Unsupervised Machine Learning, Multi-Attribute Analysis for Identifying Low Saturation Gas Reservoirs within the Deepwater Gulf of Mexico, and Offshore Australia
2022
Geosciences
To address this problem, an unsupervised machine learning multi-attribute analysis is performed on 3D post-stack seismic data over several blocks within the deepwater Gulf of Mexico and within the Carnarvon ...
Results reveal that low-saturation gas (LSG) reservoirs can be discriminated from high-saturation gas (HSG) reservoirs by using a combination of instantaneous attributes that are sensitive to small amplitude ...
Therefore, a new methodology is proposed, which uses unsupervised machine learning multiattribute analysis on 3D, post-stack seismic data with principal component analysis (PCA) and self-organizing maps ...
doi:10.3390/geosciences12030132
fatcat:6oaidsl4l5hvvmmdtdghejr6dm
Augmented Virtuality for Coastal Management: A Holistic Use of In Situ and Remote Sensing for Large Scale Definition of Coastal Dynamics
2018
ISPRS International Journal of Geo-Information
Stacking Stacking, sometimes called stacked generalization, is an ensemble machine learning method that combines multiple heterogeneous base or component models via a metamodel. ...
Test: GBM > RF > bagged MARS > Cubist > Stacking (RF) > Stacking (GBM) For machine learning, it is more appropriate to judge ML models' performance by the unseen test data. ...
doi:10.3390/ijgi7030092
fatcat:c6acb5fsl5hadbfellaur3toj4
Two Forms of a New Dish-Washing Machine
1900
Scientific American
The machine is the
reservoir. Within the water-reservoir two carrier frames are mounted, the one rotating within the other. ...
The
water-reservoir can be
heated in any desired man
ner. The inventors claim
a speed of more than one
dish per second for their
power-driven machine.
J titutiflt �Ultritau. ...
doi:10.1038/scientificamerican02241900-116
fatcat:k2x2sdkv4vairbartdawzxclzq
Implementation of a Microcode-controlled State Machine and Simulator in AVR Microcontrollers (MICoSS)
2005
Acta Polytechnica
This paper describes the design of a microcode-controlled state machine and its software implementation in Atmel AVR microcontrollers. ...
This simulator communicates with the designed state machine and presents a complete design environment for microcode development and debugging. ...
Therefore the depth of the stack memory was enlarged up to 16 items. ...
doaj:108c87cc3d89484b918352449fa015c3
fatcat:uhbylznqlndp7embblkbh4xxxy
Page 711 of POWER Vol. 69, Issue 18
[page]
1929
POWER
One of the fur- nace stacks is shown in the background
and machines in the mill, and for the supply of the building heating system. ...
The lubricating oil is fed to the upper on-side of the bearing at a pressure of 15 lb. gage and is continuously circulated from the oil reservoir to the test journal and back to the oil reservoir. ...
A Mechanical Stoker for Furnaces
1900
Scientific American
The machine is the
reservoir. Within the water-reservoir two carrier frames are mounted, the one rotating within the other. ...
The
water-reservoir can be
heated in any desired man
ner. The inventors claim
a speed of more than one
dish per second for their
power-driven machine.
J titutiflt �Ultritau. ...
doi:10.1038/scientificamerican02241900-116b
fatcat:xwiuexiy2ngfdbhoapin2kycsm
A World's Record in Bridge Building
1900
Scientific American
The machine is the
reservoir. Within the water-reservoir two carrier frames are mounted, the one rotating within the other. ...
The
water-reservoir can be
heated in any desired man
ner. The inventors claim
a speed of more than one
dish per second for their
power-driven machine.
J titutiflt �Ultritau. ...
doi:10.1038/scientificamerican02241900-116a
fatcat:fhksmiegffbffanh65gw3alhmm
« Previous
Showing results 1 — 15 out of 13,214 results