Incremental learning with a homeostatic self-organizing neural model
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04112-0
Abstract: AbstractWe present a new self-organized neural model that we term resilient self-organizing tissue (ReST), which can be run as a convolutional neural network, possesses a $$c^\infty $$c∞ energy function as well as a probabilistic interpretation… read more here.
Keywords: neural model; incremental learning; self; learning homeostatic ... See more keywords
Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-019-01450-z
Abstract: For the past few years, Deep Neural Networks (DNNs) have achieved state-of-art performance in numerous challenging domains. To reach this performance, DNNs consist in large sets of parameters and complex architectures, which are trained offline… read more here.
Keywords: incremental learning; neural networks; binary associative; associative memories ... See more keywords
Nonconvulsive epileptic seizure monitoring with incremental learning
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.103434
Abstract: Nonconvulsive epileptic seizures (NCSz) and nonconvulsive status epilepticus (NCSE) are two neurological entities associated with increment in morbidity and mortality in critically ill patients. In a previous work, we introduced a method which accurately detected… read more here.
Keywords: ncsz detection; incremental learning; nonconvulsive epileptic; method ... See more keywords
The role of prior knowledge in incremental associative learning: An empirical and computational approach
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Memory and Language"
DOI: 10.1016/j.jml.2019.03.006
Abstract: Abstract Our experiences are encoded in relation to existing knowledge, and learning of new information is influenced by what has already been learned. Although learning is often an incremental process spanning multiple repetitions, the influences… read more here.
Keywords: role prior; prior knowledge; incremental learning; knowledge incremental ... See more keywords
Adaptive classification using incremental learning for seismic-volcanic signals with concept drift
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Volcanology and Geothermal Research"
DOI: 10.1016/j.jvolgeores.2021.107211
Abstract: Abstract The accurate labeling of the volcanic earthquake signals is a crucial task in order to estimate the increase in volcanic activity (among other parameters), which contributes to determine a state of volcanic unrest (as… read more here.
Keywords: classification using; order; strategy; adaptive classification ... See more keywords
BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.100
Abstract: Abstract As an ensemble algorithm, network boosting enjoys a powerful classification ability but suffers from the tedious and time-consuming training process. To tackle the problem, in this paper, a broad network gradient boosting system (BNGBS)… read more here.
Keywords: incremental learning; network; system; boosting system ... See more keywords
The dual origin of lexical perseverations in aphasia: Residual activation and incremental learning
Sign Up to like & getrecommendations! Published in 2020 at "Neuropsychologia"
DOI: 10.1016/j.neuropsychologia.2020.107603
Abstract: Lexical perseveration, the inappropriate repetition of a previous response, is common in aphasia. Two underlying mechanisms have been proposed: residual activation and incremental learning. Previous attempts to differentiate the two have relied on experimental paradigms… read more here.
Keywords: incremental learning; activation incremental; semantically related; residual activation ... See more keywords
A Multi-Tier Stacked Ensemble Algorithm to Reduce the Regret of Incremental Learning for Streaming Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2868114
Abstract: Incremental Learning (IL) is an exciting paradigm that deals with classification problems based on a streaming or sequential data. IL aims to achieve the same level of prediction accuracy on streaming data as that of… read more here.
Keywords: incremental learning; streaming data; algorithm; multi tier ... See more keywords
Learning Automata Based Incremental Learning Method for Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2907645
Abstract: Deep learning methods have got fantastic performance on lots of large-scale datasets for machine learning tasks, such as visual recognition and neural language processing. Most of the progress on deep learning in recent years lied… read more here.
Keywords: deep neural; training; neural networks; method ... See more keywords
Incremental Learning of Multi-Tasking Networks for Aesthetic Radar Map Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2958119
Abstract: It is difficult and challenging to evaluate the aesthetics quality of images from multiple angles. Since humans’ perception of images comes from many factors, the integrated image aesthetic quality assessment cannot be easily summarized by… read more here.
Keywords: aesthetic radar; map; incremental learning; prediction ... See more keywords
An Incremental Learning Based Edge Caching System: From Modeling to Evaluation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2965249
Abstract: Caches are widely applied to improve data delivery performance in distributed systems like edge networks and content delivery networks (CDNs). We consider caching mechanism in those networks that deliver contents to end users. The challenge… read more here.
Keywords: system; incremental learning; edge caching; learning based ... See more keywords