LEARNING TECHNIQUES
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Frost prediction with machine learning techniques
... Machine Learning techniques usually employed in regression and classification problems, including Artificial Neural Networks, Simple Bayes classifiers and k-Nearest ...nonlinear techniques over the ...
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Predicting underground tunnel hazards using machine learning techniques
... machine learning algorithms are often beyond the capabilities of many engineers on site due to complex procedures for model establishment, training and validation, we develop a simple rock burst damage scale index ...
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Proposal for a relationship between educational paradigms and engineering teaching-learning techniques
... teaching techniques and innovative tools that improve the comprehension of contents, where the educator plays a role as a mediator and facilitator of ...develop learning techniques with a ...
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Category level visual object recognition using novel machine learning techniques
... Today, technology is changing the way people produce and handle information. From business to science and engineering, there is a massive generation of huge databases storing valuable information. The opportunities of an ...
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Risk Adjustment Revisited using Machine Learning Techniques
... machine learning techniques like the boosted trees model, outperforms by 5 percentage points the predictive ratio, by 40,000 pesos the RMSE and by 20,000 the MAE in the last quintile of the expenditure ...
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Visualization and machine learning techniques to support web traffic analysis
... In this work, we introduced a new visualization tool for Web Analyt- ics (Chapter 3). It allows to explore in a new way: website traffic, site goal performance, individual navigation paths, and multi-site traffic ...
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Intrusion Detection in Web Systems Using Deep Learning Techniques
... All results discussed until now are qualitative, the quantitative accuracy of our ANN are those pre- sented in the Section 5.3: False positive and false negative in the Results chapter. An interesting issue to analyze ...
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Integrating defeasible argumentation and machine learning techniques . Preliminary report
... The ability to generate and collect data has increased exponentially in the last years. Autom- atizing transactional databases has resulted in an explosive growth of information, motivating the evolution of several ...
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Application of machine learning techniques to optical communication systems and networks
... of learning and forgetting techniques in a maintenance phase of the KB ...machine learning based classifier, specifically a random forest classifier, to predict the probability that the BER of a ...
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Movie recommender based on visual content analysis using deep learning techniques
... several techniques as keypoints extractor exists in the literature (Harris Detector, Sobel mask, FAST, SURF, BRIEF, ORB among ...these techniques with machine and deep learning algorithms more ...
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An empirical study of machine learning techniques applied to image watermarking
... enhance machine learning by boosting applied to digital watermarking. The high percentage of the false positives explains the high success rate for detecting marks, a better trained classifier could reduce ...
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Co-evolutionary and Reinforcement Learning Techniques Applied to Computer Go players
... co-evolutionary learning processes can be observed some patholo- gies which could impact co-evolution ...some techniques to solve pathologies as loss of gradients, cycling dynamics and ...some ...
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Implementing Cooperative Learning Techniques in Secondary School EFL lessons
... CL produces an important impact on students’ development of their thinking skills (Webb 1982). Students engage in their own learning process instead of being the teacher's passive listeners. The work of the ...
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Gradient-based reinforcement learning techniques for underwater robotics behavior learning
... to substitute the binary activation function of each tile by a continuous function. The approximated value is a linear function of the parameter vector to be identified. Corre- sponding to each state, there is a vector ...
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Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving
... Another approach for understanding driving in roundabouts is via exploring data mining and artificial intelligence techniques. More specifically, Reference [35] presents an approach for driving classification ...
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Factors associated with prolonging psychological treatment for anxiety disorders
... control techniques followed by modeling and other specifi c techniques were the best predictors of treatment ...of techniques applied without reducing intervention effi cacy is ...
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Predictive Techniques for Scene Understanding by using Deep Learning
... Deep Learning paradigm has supposed a breakthrough for the research community, giving rise to rapid advances overall in terms of object ...Deep Learning (DL) methods have been able to reach top performance ...
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Methodology and techniques for oral skills development
... The selected paradigm for this study is the interpretative paradigm because it analyzes a particular phenomenon happened to particular students in a particular context –a phenomenon that is unique and cannot be ...
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Uso de técnicas activas en el aprendizaje del área de Lengua y Literatura para el desarrollo de habilidades y destrezas
... Active Techniques and its impact on the teaching-learning process of the Department of Language and ...of techniques that allow students to encourage, nurture and develop a series of abilities and ...
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The motivational techniques incidence in the grammar learning process with students at 5th semester in the facultad de Ciencias de la Educación, Humanas y Tecnologías at Universidad Nacional de Chimborazo, during 2015 term
... Increasing student motivation is one of a teacher’s responsibilities. As teacher, we must have strategies in increasing student motivation. The strategies which can improve student motivation are giving interesting ...
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