Machine learning model-based approach
Machine learning approach to model internal displacement in Somalia
... The first phase, of this project, was the definition of the project, determining what the goal should be and what is the background of the field that would be explored. The worldwide phenomenon of migration, was an ...
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Student risk identification learning model using machine learning approach
... The Machine Learning (ML) algorithms are generally modelled to learn objective parameter from data when the classes in the training information are ...cost-sensitive learning, and various kind of ...
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Attribution of Customers’ Actions Based on Machine Learning Approach
... attribution model based on gradient boost- ing over trees is proposed, which was compared with the state of the art models: bagged logistic regression, Markov chains approach, shapely ...posed ...
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A Machine Learning Based Approach to Application Landscape Documentation
... novel, machine learning based approach to discover and iden- tify standard software in large IT-landscapes that can be used for software asset management or enterprise architecture ...
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Progame:event-based machine learning approach for in-game marketing
... attitudes was examined in a laboratory study involving 24 participants. Before using the tools, the participants assumed that web tracking occurs but were not aware of the specifics. All three extensions provided some ...
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Model-Based and Machine Learning-Based Control of Biological Oscillators
... novel approach to eliminate alternans by changing the phase of the pacemaker cells, and showed how our optimal control algorithm can be tied to the formulated geometrical ...
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Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning
... far based on subjective decisions due to missing replace- ment ...criteria. Based on the study results, it was demon- strated how techniques from the field of ML could be used to retrieve information that ...
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A Novel Driver Performance Model Based on Machine Learning
... Levenberg-Marquardt learning algorithm, because it is the most popular, fast, and widely used approach in nonlinear ...back-propagation approach one of the fastest and the most efficient methods ...
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Machine Teaching -- A Machine Learning Approach to Technology Enhanced Learning
... Factorization Model and Method This thesis presented a novel model and al- gorithm based on factor models that substantially generalizes the state-of-the-art in this field to address these ...
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UWB: Machine Learning Approach to Aspect Based Sentiment Analysis
... To model this assumption we use a weight for each word and bigram feature taken from the Gaussian distribution according to the distance from the aspect ...
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A Machine-Learning-Based Pipeline Approach to Automated Fact-Checking
... a model is pretrained in a self-supervised manner on a massive dataset and then fine-tuned on a small corpus for a particular target ...is based on pretrained representations of BERT, performs for claim ...
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MACHINE LEARNING BASED IMAGE PROCESSING USING UNSUPERVISED APPROACH
... coefficient vector β. Atoms are the linear summa- tion of small basis functions which constitute the columns of D. Sparse representation uses the prod- uct of these two to approximate the signal of inter- est I. Consider ...
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Automated detection of reflection in texts. A machine learning based approach
... The model of Plack et ...the model of Kember et ...the model of Chamoso and Cáceres ( 2009 , ...their learning. The ’focus’ dimension of the model of Lai and Calandra ( 2010 , ...The ...
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Rain Prediction Using Rule-Based Machine Learning Approach
... a model to understand and predict rain to provide early warning in various fields/needs such as agriculture, transportation, ...prediction model using a rule-based Machine Learning ...
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Towards a Reliable Machine Learning Based Global Misbehavior Detection in C-ITS: Model Evaluation Approach
... window based technique by computing statistical features (mean, me- dian, min, and ...different model ar- chitectures and resolve to the architecture detailed ...
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A PREDICTIVE MODEL FOR ESTIMATING PETROLEUM CONSUMPTION USING MACHINE LEARNING APPROACH
... tentative model can be ARIMA (1,1,1), ARIMA ...estimation, based on the smallest values of AIC and BIC, ARIMA (1,1,1) was chosen as the optimal ...for model and predicting Nigerian yearly petroleum ...
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Agent-Based Model Calibration using Machine Learning Surrogates
... the machine-learning surrogate approach performs better in out-of-sample testing: the typical Kriging-based meta-model is tested on 10-20 points within an extremely large space, while ...
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Machine Learning based Trust Computational Model for IoT Services
... design model, feature extraction methodologies, and intelligent algorithms to analyse fea- tures and autonomically assess a trust value without hu- man ...framework model which specifies the formation of ...
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Rating Prediction based on Textual Review: Machine Learning Approach, Lexicon Approach and the Combined Approach
... (BoW) model also known as binary BoW model is a way of extracting features from the text for use in training the machine learning ...The approach is very flexible and simple and can be ...
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A Hybrid Machine Learning based Approach for Hindi License Plate Recognition
... ANPR approach for Hindi license plate recognition. The approach proposed is this paper is based on the hybrid machine learning model that is composing of SVM, ANN alphabet ...
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