Supervised learning (Machine learning)
Supervised learning and inference of semantic information from road scene images
... Nowadays, vision sensors are employed in automotive industry to integrate advanced func- tionalities that assist humans while driving. However, autonomous vehicles is a hot field of research both in academic and ...
180
Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
... This study compares four different supervised learning methods (naive Bayes, classification trees, k-nearest neighbors and logistic regression) com- bined with three strategies for sel[r] ...
17
Tecnhiques for sentiment analysis in Twitter: Supervised Learning and SentiStrength
... on Supervised Learning processes, developed in the field of artificial ...While supervised learning allows taking into account the context thanks to its ability to detect patterns of words, ...
18
Service of machine learning in streaming: supervised learning – decision tree
... machine learning hacia los servicios (MLaaS), debido al gran despuente que ha tenido esta rama de la inteligencia artificial, sobre todo para crear soluciones de analítica de datos que generen valor, tendencias o ...
108
Explaining stock exchange prices using supervised learning and sentiment analysis
... But all in all, as mentioned before, the market faces a lot of challenges that can only be mastered including all sort of knowledge from other disciplines: Data mining (i.e. text mining), neuronal networks or machine ...
32
Supervised Learning for Haptics Texture Classification Using Fourier Analysis-Edición Única
... • Provide an approach for texture classification using Fourier coefficients as a suit able feature of a given surface and obtain parameters for its classification, feature that has to [r] ...
82
Anomalous vehicular traffic detection through spectral techniques and semi&un supervised learning models
... The general objective of this dissertation is the development of a methodology for the extraction of spectral, temporary and aggregation features of the vehicular traffic at a freeway on[r] ...
99
Supervised learning for haptics texture classification using fourier analysis
... • Provide an approach for texture classification using Fourier coefficients as a suit able feature of a given surface and obtain parameters for its classification, feature that has to b[r] ...
80
A new supervised learning algorithm inspired on chemical organic compounds
... As introduced earlier, this work uses inspiration from chemical organic compounds to propose a new class of computational learning algorithms that solves suitable modeling problems in th[r] ...
194
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
... We quantified the neurons with nine simple axonal and den- dritic morphological variables, such as the axonal length close to the soma, and labeled them according to the choices of the expert neu- roscientists. In [3] ...
11
A weakly-supervised approach for discovering common objects in airport video surveillance footage
... weakly-supervised learning, unsuper- vised approaches do not use any kind of labelled ...unsupervised learning to the object detection/localisation ...
12
Koniocortex-like network unsupervised learning surpasses supervised results on WBCD breast cancer database
... unsupervised learning that emerges from individual neurons properties surpasses results even of several advanced state- of-the-art supervised learning ...deeper learning and better performance ...
10
Robust Image Recognition Based on a New Supervised Kernel Subspace Learning Method
... process using linear techniques such as LDNE, LDA, DNE, and LPP. Therefore, applying a nonlinear method can effectively improve classification performance. This technique is a supervised learning method, as ...
135
Unconscious Learning
... However, learning theories are not limited to psychology and related fields but can be traced back to ancient philosophers, such as Socrates, Plato, and ...of learning also played a significant role in the ...
106
In Company A DISTANCIA E-LEARNING B-LEARNING
... Elaborarán compromisos personales y de equipo para interactuar con más probabilidad de éxito en su equipo de trabajo. Metodología.[r] ...
15
Blended learning
... H Learning (Home Learning), o también denominado Virtual-H, con varios Métodos, hoy en día usado por varias entidades educativas, Edison ha aportado mucho en referencia a la conversión de las horas ...
79
Video sequence compression via supervised training on cellular neural networks
... T h e application presented here makes use of a CNN model operating in discrete-time (DT-CNN) to compress video sequences... Example of a CNN topology.[r] ...
9
Supervised metaplasticity for big data: application to pollutant concentrations forecast
... To check the possible improvements on the results of pollutant concentration prediction, based on the application of Shannon's theory in this work networks training has been performed [r] ...
10
Learning Organization y e-learning : aprender a aprender
... Dependiendo del tipo de aprendizaje que busque el alumno, le aportará más un método u otro. Los cursos online son comunes entre las personas que buscan aprender de una manera flexible, esta flexibilidad es clave en el ...
51
TítuloHybrid Supervised Unsupervised Channel Estimation Scheme with Dynamic Transmission of Pilots
... of supervised and unsupervised techniques can avoid their respec- tive drawbacks while preserving their advantages [5, ...un- supervised approaches. Unfortunately, both supervised and unsupervised ...
16