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2010, Adaptive and learning systems for signal processing, communication, and control, ISBN 9780470447536, xxi, 209
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for... 
Waves & Wave Mechanics | Science | Kernel functions | Adaptive filters
Book
IEEE Transactions on Signal Processing, ISSN 1053-587X, 07/2016, Volume 64, Issue 13, pp. 3376 - 3387
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 03/2018, Volume 29, Issue 3, pp. 510 - 522
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 8/2019, pp. 1 - 14
An increasing number of neural memory networks have been developed, leading to the need for a systematic approach to analyze and compare their underlying... 
recurrent neural network (RNN) | Neural networks | Taxonomy | neural stack | Random access memory | Markov processes | Network architecture | neural RAM | Mathematical model | Task analysis | Long short-term memory (LSTM)
Journal Article
06/2018, ISBN 012812976X, 390
eBook
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 08/2018, Volume 26, Issue 4, pp. 2213 - 2224
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 9/2019, pp. 1 - 14
The distributions of input data are very important for learning machines, such as the convex universal learning machines (CULMs). The CULMs are a family of... 
Training | Vector quantization | regression | Convex universal learning machines (CULMs) | kernel method | Convex functions | Kernel | Computational complexity
Journal Article
Digital Signal Processing, ISSN 1051-2004, 10/2019, p. 102595
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 8/2019, pp. 1 - 1
The matrix-based Renyi's α-order entropy functional was recently introduced using the normalized eigenspectrum of a Hermitian matrix of the projected data in a... 
Renyi's α-order entropy functional | Feature selection | Estimation | Machine learning | Probability density function | Entropy | Multivariate information quantities | Kernel | Mutual information
Journal Article
Proceedings of the IEEE, ISSN 0018-9219, 04/2014, Volume 102, Issue 4, pp. 526 - 527
Journal Article
IEEE Journal of Oceanic Engineering, ISSN 0364-9059, 8/2018, Volume 44, Issue 4, pp. 1 - 14
To analyze marine animals' behavior, seasonal distribution, and abundance, digital imagery can be acquired by a camera or a Lidar. Depending on the quantity... 
marine animal Lidar imagery | Laser radar | Shape | Cameras | Cost function | Robustness | Correntropy loss | dissimilarity matrix | Marine animals | multiview learning
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2018, Volume 291, pp. 128 - 135
In order to move toward efficient autonomous learning, we must have control over our datasets to test and adaptively train systems for complex problems such as... 
Deep learning | Data environment | Visual Question Answering | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Circuits and Systems I: Regular Papers, ISSN 1549-8328, 6/2019, pp. 1 - 13
The Hilbert space embedding provides a powerful and flexible tool for dealing with the nonlinearity and high-order statistics of random variables in a... 
maximum correntropy criterion | Estimation | conditional embedding operator | Predictive models | Cost function | Random variables | Kalman filters | Noise measurement | kernel Kalman-type filter | Nyström approximation | Kernel | Hilbert space embedding
Journal Article
Trends in Neurosciences, ISSN 0166-2236, 10/2016, Volume 39, Issue 10, p. 649
  Behavioral evidence from phylogenetically diverse animals and from humans suggests that, by extracting temporal information inherent in the olfactory signal,... 
Neurosciences | Neurons | Time | Smell | Animal cognition
Journal Article
IEEE Transactions on Neural Systems and Rehabilitation Engineering, ISSN 1534-4320, 09/2019, Volume 27, Issue 9, pp. 1684 - 1694
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate... 
Training | Brain-machine interfaces (BMIs) | Clustering algorithms | Reinforcement learning | clustering | Decoding | Trajectory | Kernel | Task analysis | Jaccard distance | TASK | ENGINEERING, BIOMEDICAL | kernel | MOVEMENT | REHABILITATION | CORTICAL CONTROL | reinforcement learning
Journal Article
Journal Article
Entropy, 11/2012, Volume 14, Issue 11, pp. 2311 - 2323
Journal Article
Journal of the Franklin Institute, ISSN 0016-0032, 03/2018, Volume 355, Issue 4, p. 1638
In this paper we develop a new framework for time series segmentation based on a Hierarchical Linear Dynamical System (HLDS), and test its performance on... 
Voice recognition | Multilayers | Segmentation | Music | Machine learning | Time series | Kalman filters | Clustering | Dynamical systems | Artificial intelligence | Recognition
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2015, Volume 147, Issue 1, pp. 1 - 2
Journal Article
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