ListarIngeniería por tema "Machine learning"
Mostrando ítems 1-5 de 5
-
A genetic algorithm based framework for software effort prediction
(2017)Background: Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ... -
Improving post-filtering of artificial speech using pre-trained LSTM neural networks
(2019)Several researchers have contemplated deep learning-based post-filters to increase the quality of statistical parametric speech synthesis, which perform a mapping of the synthetic speech to the natural speech, considering ... -
Learning the prediction error for improving an analytical-based prediction (object-model) system for manipulation tasks
(2018)One of the main tasks in robotics today, is to bring robots closer to humans in everyday situations. This requires the robot to understand how its environment (objects, people, conditions) behaves. One method that tries ... -
Object Recognition Using Hierarchical Temporal Memory
(2018-02-17)At this time, great effort is being directed toward developing problem-solving technology that mimics human cognitive processes. Research has been done to develop object recognition using Computer Vision for daily tasks ... -
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ...