Learning approach
Trip time prediction in mass transit companies. A machine learning approach
... The problem we are dealing with is one of regression, and in particular, of time series forecasting. Our goal is to evaluate whether a machine learning approach can be useful in an operational decision ...
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A deep learning approach for sentence classification of scientific abstracts
... Abstract. The classification of abstract sentences is a valuable tool to support scientific database querying, to summarize relevant literature works and to assist in the writing of new abstracts. This study proposes a ...
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Improving eQTL Analysis Using a Machine Learning Approach for Data Integration
... machine learning approach to combine the results obtained by the tools pre- viously introduced for eQTL analysis based on a supervised learning ...
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A Machine Learning Approach to Predict Air Quality in California
... Copyright © 2020 Mauro Castelli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
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Palm tree image classification : a convolutional and machine learning approach
... The general approach for the project is described in this section. The main goal was to detect if an image had palm trees, using a pre-trained convolutional neural network called OverFeat. This CNN architecture is ...
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Universal Genetic Programming: a Meta Learning Approach based on Semantics
... Machine Learning practition- ers and the statistical significance of the results can be obtained by running the algorithms multiple times with different random ...
101
Identifying human phenotype terms in text using a machine learning approach
... Handwritten rules can also play a big role in the identification of entities in a NER system. These rules have the advantage of being highly specific to the training set in hand and they can take advantage of specific ...
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A machine learning approach for indirect human presence detection using IoT devices
... However the purpose of these tests was not to find the perfect combination of algorithm and parameters, it was about checking if there was a specific algorithm that behaved exceedingly well for our case. These ...
100
Forecasting appliances failures: a machine-learning approach to predictive maintenance
... Abstract: Heating appliances consume approximately 48% of the energy spent on household appliances every year. Furthermore, a malfunctioning device can increase the cost even further. Thus, there is a need to ...
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A deep learning approach to identify not suitable for work images
... II. BACKGROUND AND RELATED WORK The problem of automatically identify NSFW content from images and multimedia content is well studied [3], [4], [5], [6]. There has been a significant amount of research to provide and to ...
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A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies
... Abstract. The wireless capsule endoscopy has revolutionized early diagnosis of small bowel diseases. However, a single examination has up to 10 h of video and requires between 30–120 min to read. Compu- tational methods ...
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Sleep Stage Classification: A Deep Learning Approach
... proper learning method is achieved, the model built by the classifier could be able not only to discriminate better the stages and even the artefacts, but also to detect sleep disorders such as apnea, insomnia, ...
187
Towards a transmedia learning approach in ESL context
... formal learning environment to acquire insights on how the pedagogical sequence: re- ception; participation and contribution via learning input and output platforms can be applied through the use of a ...
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A Deep Learning Approach to Named Entity Recognition in Portuguese Texts
... Collobert et.al. [CWB + 11] present a neural network architecture. This architecture can be applied to multiple natural language processing tasks. By avoiding task-specific engineering and ignoring man-made input ...
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Human Activities Recognition: a Transfer Learning Approach
... 5. Hybrid-Base Knowledge Transfer: This scenario is different from the above since the transfer performed is of various types of knowledge and not one only. Though this approach is least common amongst the ...
97
Developing of Scale Implementation Difficulties on Project Based Learning Approach
... The aim of this study is to develop a reliable and valid measurement device which measures the level of involvement in problems teachers face in applying project based learning developed scale. The developed scale ...
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A machine learning approach to the optimization of inventory management policies
... alternative approach for solving inventory-control ...same approach as before (Cooperative Coevolution) but now we are evolving in parallel four subpopulations in order to obtain the four closed-form ...
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A Machine Learning Approach for Path Loss Estimation in Emerging Wireless Networks
... Machine Learning is the field of study which describes the mechanisms which allow a computer to learn to discern patterns from a given set of ...machine learning is the process of building a model which ...
74
Designing for an inquiry based approach to blended and online learning
... The use of synchronous web-based communication tools (e.g., text messaging, audio, and video) is becoming much more common in higher education. Some tea- chers are using these applications to replace classrooms sessions ...
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Collaborative learning advancing international students: a multidisciplinary approach
... collaborative learning approach? The conclusions show that there is the need of following new teaching methodologies in a more col- laborative approach, in order to promote the integration of ...
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