Gradient-based Machine Learning for Prediction
An investigation of machine learning based prediction systems
... three machine learning techniques with a LSR model for predicting software project ...in prediction accuracy levels, we argue that it may be other characteristics of these techniques that will have ...
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Stochastic gradient methods for machine learning
... H. Kesten. Accelerated stochastic approximation. Ann. Math. Stat., 29(1):41–59, 1958. G. Lan. An optimal method for stochastic composite optimization. Mathematical Programming, pages 1–33, 2010. N. Le Roux, M. Schmidt, ...
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Active or Not - Machine-learning based Prediction of Platelet Activation
... As the 12-dimensional feature vector might contain vari- ables that do not add sufficient discrimination power, a preselection of the relevant variables was performed before training the supervised model. Specifically, ...
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A Machine Learning Based Method for Customer Behavior Prediction
... A Machine Learning Based Method for Customer Behavior Prediction Jing LI, Shuxiao PAN, Lei HUANG, Xin ZHU Abstract: Under the data-driven environment, market competition is increasingly ...
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Software Aging Prediction based on Extreme Learning Machine
... aging prediction model base on extreme learning ...aging prediction model is effective to forecast the aging progress, and the PCA is an important and useful method to reduce the redundancy of ...ANN ...
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Machine Learning for Stock Prediction Based on Fundamental Analysis
... of machine learning for stock prediction is attracting a lot of attention in recent ...that machine learning methods could be successfully used toward stock predicting using stocks’ ...
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Machine-Learning-Based No Show Prediction in Outpatient Visits
... of prediction or behaviour anticipation of demand already have a long history and scientific foundation supporting ...generated based on a minute by minute forecast of demand – otherwise supply cuts would ...
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Machine Learning Based Workload Prediction in Cloud Computing
... (c) LSTM Fig. 11. CDF of memory accuracy with different window sizes for m-gap prediction. The K-means [43] and Gaussian Mixture Clustering [44] are the two main methods for PBC. K-means is a distance- ...
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Machine Learning Prediction and Classification
... of Machine Learning While machine learning algorithms have been around for decades, they've attained new popularity as artificial intelligence (AI) has grown in ...Deep learning models ...
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Machine learning as prediction tool
... Po Geronu (2017), klasificiranje sustava baziranih na strojnom učenju može se vršiti u više kategorija. U prvoj kategoriji uzima se u obzir jesu li trenirani sa ljudskim nadzorom ili ne. Po tome sustav se dijeli na: ...
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The machine learning in the prediction of elections
... and machine learning. Samuel (1959) say, the definition of machine learning, was given to the field of study that assigns to the computers the ability to learn without being explicitly ...
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Air Quality Prediction based on Supervised Machine Learning Methods
... Hypothetically, a huge lengthen could be applied but in observe, it's located that prediction outcomes drip if the extend is too big. At the same time deferring the yield by way of some borders has been applied ...
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Machine Learning Based Prediction versus Human-as-a-Security-Sensor
... the prediction of a machine learning algorithm and also to study the ability of users to detect phishing mails successfully in relation to the predicting ...the machine learning ...
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Demand Based Crop Prediction Using Machine Learning Algorithm
... 2076 embraced the assignment to fabricate huge scope pilots in farming that are intensely founded on IoT innovations. The IoT-related troubles and limitations for the agro-nourishment area are depicted together with the ...
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Machine Learning Based Prediction for Liver Disorder with Optimized Attributes
... Abstract—Machine learning is a branch of efficient view of uses a range of facts, probabilistic and development techniques that empower PC’s to "understand" from past cases and to differentiate ...
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Application of Machine Learning Based Prediction Techniques in Wireless Networks
... Status Prediction The stability and reliability of links in wireless networks is dependent on a number of factors such as the topol- ogy of the area, inter-base station or inter-mobile station distances, weather ...
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Android Application for Skin Cancer Prediction based on Machine Learning
... 1 Department of Computer Science and Engineering, 1 ATME College of Engineering, Mysore, India Abstract: Among the different types of skin cancer, melanoma is considered to be the deadliest and is difficult to treat at ...
Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy
... ML- based models for prediction of toxicity is not balanced across districts, as some of them, such as lung, prostate, and H&N have been receiving more attention than others such as brain, skin, blood, and ...
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Machine-learning-based vehicle delay prediction at signalized intersections
... Delay calculation is one of the key elements of the signalized intersections performance analysis. Field delay data collection for the inputting the analytical models is usually time- consuming and also calculation of ...
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A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction
... a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and ...in learning is due to ...
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