Learning methods
BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE
... machine learning methods have developed at fast pace in the past years due to the growing amount of data available and the bigger size of the data ...
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SUPERVISED LEARNING METHODS FOR BANGLA WEB DOCUMENT CATEGORIZATION
... machine learning approaches, or more specifically, four supervised learning Methods, namely Decision Tree(C ...of methods have been applied to English text categorization, relatively few ...
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Recommending media content based on machine learning methods
... 3.23. Learning this model can be through several different ...adopted learning methods for recommender ...the learning algorithm of user and prod- uct factor vectors comprises looping through ...
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Research Article Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics
... machine learning approach accuracy applied analysis of cardiac ...machine learning approaches were studied: linear and quadratic discriminant analysis, k-nearest neighbors, support vector machine with ...
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Teamwork: improved eQTL mapping using combinations of machine learning methods.
... mapping methods comprising our committee approach, individually and in combi- ...individual methods are outperformed by at least one combination of approaches both in terms of ROC and precision-recall curve ...
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A PERFORMANCE COMPARISON OF OVERSAMPLING METHODS FOR DATA GENERATION IN IMBALANCED LEARNING TASKS
... where learning from imbalance data may improve the performance of a classifier such as fraud detection in finance [3], network intrusion [6] and equipment failure detection in telecommunication [23], product ...
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Ambient. constr. vol.17 número3
... machine learning method was trained and validated in 50 independent ...machine learning methods appear in the first column: Decision Trees (DT), Multi-Layer Perceptron Neural Network (MLP), Random ...
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Clinics vol.65 número12
... Machine learning methods, such as artificial neural networks and discriminant analysis, were already in use for identifying the topographic patterns of ...
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Forecasting human entrances at a commercial store using facial recognition data
... In the Master Thesis dissertation of (Rodrigues, 2014), two tasks were addressed. The first one, more directly related with this work, consisted in predicting the daily number of accesses in a retail center, while the ...
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Systems Architecture and Algorithm for Co-reference Resolution in Texts
... if learning happened successfully, the co- reference phrases would be specified with high ...Machine learning methods are divided into supervised and unsupervised ...unsupervised learning ...
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Int. braz j urol. vol.32 número1
... The paper shows that the authors (both groups) have good experience with Laparoscopy. The operative time and warm ischemia time in Group CA is still high, but this is a complex laparoscopic proce- dure, and this ...
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A Brief Course on Clinical Communication Skills: A MultiCentered Study
... The course structure presenting discussions of theoretical contents, skills training with an actor, debriefing, feedback and synthesis indicated a framework highly appreciated by the students in all four universities ...
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J. Pediatr. (Rio J.) vol.92 número3
... It is important to remember that, in cross-sectional studies, the exposure factors and the outcome are simul- taneously determined, and caution is recommended when interpreting the causal associations. A possible recall ...
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061 Child Labor and Learning Patrick M. Emerson Vladimir Ponczek André Portela Souza
... hinder learning remain largely ...on learning as measured by the proficiency of students in the S˜ao Paulo municipal school system through their performance on standardized ...
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Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model.
... descent methods, e.g. [30], but also include derivative-free methods such as Nelder-Mead [31] or BOBYQA [32], which approximate the behavior of gradient based ...optimization methods are quickly ...
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A Conceptual Framework to Support Mediation of Perspectives in Information Systems Analysis: The Case of an Interpretative Approach
... modelling methods that can be used in a requirements analysis process assume the organisation as a coherent whole, completely determined by pre-defined goals, which is more and more considered as too simplistic in ...
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Aprendendo genética molecular a partir de métodos alternativos / Learning molecular genetics from alternative methods
... teaching methods to stimulate student participation and ...teaching methods and the construction of teaching materials that illustrate the cellular processes of Replication, Transcription and Translation ...
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A Global Framework for Measuring Learning
... Rationale: Children must be able to count, under- stand and use mathematical concepts both to make informed choices about different areas of life and to pursue advanced learning in such disciplines as sci- ence, ...
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Elementary Students’ Opinions of Learning Objects: A Social Studies Course Case / İlköğretim Öğrencilerinin Öğrenme Nesnelerine Yönelik Düşünceleri: Sosyal Bilgiler Dersi Örneği
... the learning objects designed for ‘I Get to Know Myself’ unit in the course of ‘Studying the Individual and ...research methods and the data obtained were analyzed with NVivo8 ...on learning objects ...
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Machine learning in analytical chemistry: applying innovative data analysis methods using chromatographic techniques
... Hyphenated methods, such as LC-MS, are now capable of generating huge amounts of multi-dimensional ...interpretation methods could explain which, as a consequence, gave rise to the application of ML tools ...
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