Application of machine learning
Application of Machine Learning Tools for Predicting Determinant Factors
... the application of machine learning based decision making system for decision makers and ...the machine learning experimentation as a training ...
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Application of Machine Learning and Crowdsourcing. to Detection of Cybersecurity Threats
... Application of Machine Learning and Crowdsourcing to Detection of Cybersecurity Threats Introduction We can broadly divide cybersecurity threats in two categories. The first is the vulnerabilities ...
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Application of Machine Learning in Software Engineering
... phenomena. Machine learning does the statistical analyses is of data and extract and use most relevant data for solving the current situation or for prediction of future ...events. Machine ...
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Learning on the job: the application of machine learning within the speech decoder
... In this paper we are looking towards a ‘third way’. Rather than try to build better statistical models, or try to find ways of adapting them to the context, we seek to apply general machine learning ...
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Application of machine learning with electroencephalography in seizure detection.
... The locations are: the frontal lobe, parietal lobe, occipital lobe, and temporal lobe. The frontal lobe contains the majority of dopamine-sensitive neurons. It is associated with many functions, including: reward, ...
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Application of Machine Learning For Survival Analysis- A Review
... The machine learning techniques are being used recently to develop more sophisticated and effective algorithms that either complement or compete with the traditional statistical methods in survival ...
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Application of Machine Learning to Rotorcraft Health Monitoring
... NNs are models that mimic properties of the neurons in the brain to form powerful predictive tools capable of mapping nonlinear relationships. They consist of layers of neurons that are interconnected via weights. These ...
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Application of Machine Learning to Mortality Modeling and Forecasting
... that machine learning techniques can be valuable as a complement to standard mortality models, rather than a ...that machine learning algorithms are useful to assess the goodness of fit of the ...
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Application of machine learning methods in production systems
... Model učenja regresijom ima jednu zavisnu varijablu te postoji odnos između zavisne i nezavisne varijable, te se nastoji pogoditi vrijednost svake zavisne varijable, dok mod[r] ...
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Application of Machine Learning Techniques to Spam Filtering
... The author used a testing corpus of 1592 legitimate and 1730 spam emails. It was split into three parts, a training set of 2043 instances, a validation set of 631 instances and a test se[r] ...
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An Application of Machine Learning to Network Intrusion Detection
... 2. Machine Learning Techniques Our current implementation of NEDAA contains rule generation modules that interface with two ARL:UT arti- ficial intelligence (AI) software packages: a genetic algo- rithm ...
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Application of Machine Learning to Multi Antenna Transmission and Machine Type Resource Allocation
... Chapter 5 Conclusions and Future Work In this thesis, we have investigated two applications of machine learning to wireless systems. First, we investigated the possibility of designing a neural ...
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The application of machine learning to sensor signals for machine tool and process health assessment
... the machine tool possesses only two rotational axes (both acting upon the machining table), the B-axis is not orthogonal to the machine coordinates; hence an equivalent rotation expressed in terms of ...
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An Overview on Application of Machine Learning Techniques in Optical Networks
... Moving from the physical layer to the networking layer, the same motivation applies for the application of ML techniques. In particular, design and management of optical networks is continuously evolving, driven ...
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An application of Machine Learning to Detect Abusive Bengali Text
... Bangladesh. Machine learning approach can be useful to keep the system always updated with the new types of approaches used by the ...investigates machine learning algorithms ...Vector ...
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Application of machine learning for energy efficiency in mobile networks
... 2.3.1. Machine Learning techniques for network management ...with Machine Learning As already commented and presented in [11], BigData technologies will play a really important role in the ...
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Application of Machine Learning Methods for Human Gait Analysis
... 5. CONCLUSIONS This thesis presents methods for the human gait metrics components calculation and estimation by means of motion data capture using high precision single body mounted accelerometers, gyroscopes and GPS ...
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Application of Machine Learning in Predicting Ovarian Cancer Survivability
... Major Field: INDUSTRIAL ENGINEERING AND MANAGEMENT Abstract: This study applies machine learning techniques for predicting ovarian cancer survivability using Cerner Health facts data. Specifically, the ...
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Application of machine learning for fuel consumption modelling of trucks
... Vector Machine, a Random Forest and an Artificial Neural Network models have been developed for the estimation of fuel consumption of the considered fleet of ...
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Application of Machine Learning to Financial Time Series Analysis
... 83 Chapter 5 Forecasting The goals of the experiments on forecasting are to 1) improve standard algorithms, and 2) beat the ‘state of the art’. The first piece of work concerns forecasting DJIA daily re- turns. For the ...
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