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Longer titles found: Bidirectional recurrent neural networks (view)

searching for Recurrent neural network 31 found (294 total)

alternate case: recurrent neural network

Felix Gers (187 words) [view diff] exact match in snippet view article find links to article

Cummins, he introduced the forget gate to the long short-term memory recurrent neural network architecture. This modification of the original architecture has

Sunspring (571 words) [view diff] exact match in snippet view article find links to article

through a love triangle. The script of the film was authored by a recurrent neural network called long short-term memory (LSTM) by an AI bot named Benjamin

Encog (343 words) [view diff] case mismatch in snippet view article find links to article

Boltzmann Machine Counterpropagation Neural Network (CPN) Elman Recurrent Neural Network Neuroevolution of augmenting topologies (NEAT) Feedforward Neural

Ali Dehghantanha (1,599 words) [view diff] case mismatch in snippet view article find links to article

identification and analysis in IoT. Moreover, he developed a Deep Recurrent Neural Network structure for in-depth analysis of IoT malware. Dehghantanha introduced

Geoffrey W. Hoffmann (831 words) [view diff] case mismatch in snippet view article find links to article

Physica 22D, 233-246 M. R. Davenport, G. W. Hoffmann (1989) A Recurrent Neural Network using tri-state hidden neurons to orthogonalize the memory space

Hidden Markov model (6,811 words) [view diff] exact match in snippet view article find links to article

models was suggested in 2012. It consists in employing a small recurrent neural network (RNN), specifically a reservoir network, to capture the evolution

Adji Bousso Dieng (2,240 words) [view diff] case mismatch in snippet view article find links to article

2018 A. B. Dieng, C. Wang, J. Gao, and J. W. Paisley. TopicRNN: A Recurrent Neural Network with Long Range Semantic Dependency. International Conference on

Bastiaan Quast (407 words) [view diff] exact match in snippet view article find links to article

learning framework rnn in R, which allows native implementations of recurrent neural network architectures, such as LSTM and GRU (>100,000 downloads). While

Eberhard Fetz (2,320 words) [view diff] exact match in snippet view article find links to article

Jones, eds. Plenum Press, New York, 1-47, 1991. Fetz, E.E. Dynamic recurrent neural network models of sensorimotor behavior, in THE NEUROBIOLOGY OF NEURAL

Hypercomputation (3,369 words) [view diff] exact match in snippet view article find links to article

Malament–Hogarth spacetime HYP dependent on spacetime structure analog recurrent neural network Δ 1 0 [ f ] {\displaystyle \Delta _{1}^{0}[f]} f is an advice function

Hadamard product (matrices) (2,733 words) [view diff] case mismatch in snippet view article

Beaufays, Françoise (2014-02-05). "Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition". arXiv:1402

International Aging Research Portfolio (1,364 words) [view diff] no match in snippet view article find links to article

with elements of machine learning: Support Vector Machine SVM and Recurrent-Neural-Network-Based Boolean Factor Analysis (BFA). Since 2014 the SVM algorithm

Winograd schema challenge (2,038 words) [view diff] exact match in snippet view article find links to article

accuracy was achieved on the full dataset using an ensemble of recurrent neural network language models, marking the first use of deep neural networks

Garrison Cottrell (578 words) [view diff] case mismatch in snippet view article find links to article

Jiang, G., & Cottrell, G. (2017). “A Dual-Stage Attention-based Recurrent Neural Network for Time Series Prediction.” arXiv preprint arXiv:1704.02971. Valentin

Learning curve (4,349 words) [view diff] case mismatch in snippet view article find links to article

p. 578. ISBN 978-0-387-30768-8. Madhavan, P.G. (1997). "A New Recurrent Neural Network Learning Algorithm for Time Series Prediction" (PDF). Journal of

Boltzmann machine (3,676 words) [view diff] exact match in snippet view article find links to article

Type of stochastic recurrent neural network

List of disorder prediction software (902 words) [view diff] exact match in snippet view article find links to article

residue in a protein sequence of being disordered or ordered. A deep recurrent neural network architecture using Long Short-Term Memory (LSTM) cells. Yes No

Virtual screening (4,015 words) [view diff] case mismatch in snippet view article find links to article

PMID 30524275. Alsenan S, Al-Turaiki I, Hafez A (December 2020). "A Recurrent Neural Network model to predict blood-brain barrier permeability". Computational

Verdigris Technologies (1,202 words) [view diff] exact match in snippet view article find links to article

Verdigris forecasting for demand management uses a deep learning recurrent neural network model. It reads a building's energy usage in real-time, and, combined

Paraconsistent logic (6,358 words) [view diff] exact match in snippet view article find links to article

Oliveira, A. M.; Silva, J. I. D. (2023). "Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a

Andrzej Cichocki (1,669 words) [view diff] exact match in snippet view article find links to article

Sparse Component Analysis (SCA). He developed and proposed new recurrent neural network architectures for optimization, solving large scale systems of

Kevin Warwick (6,413 words) [view diff] exact match in snippet view article find links to article

2016. Delgado, A.; Kambhampati, C.; Warwick, K. (1995). "Dynamic recurrent neural network for system identification and control". IEE Proceedings - Control

Irfan Siddiqi (1,860 words) [view diff] case mismatch in snippet view article find links to article

S.; Hacohen-Gourgy, S.; Siddiqi, I. (9 January 2020). "Using a Recurrent Neural Network to Reconstruct Quantum Dynamics of a Superconducting Qubit from

Opus (audio format) (6,905 words) [view diff] exact match in snippet view article

activity detection (VAD) and speech/music classification using a recurrent neural network (RNN) Support for ambisonics coding using channel mapping families

Universal approximation theorem (5,222 words) [view diff] exact match in snippet view article find links to article

showed a practical application. In reservoir computing a sparse recurrent neural network with fixed weights equipped of fading memory and echo state property

Unconventional computing (4,694 words) [view diff] exact match in snippet view article find links to article

Reservoir computing is a computational framework derived from recurrent neural network theory that involves mapping input signals into higher-dimensional

Electrocardiography (10,362 words) [view diff] case mismatch in snippet view article find links to article

Severity Stages Classification From ECG Signals Using Attentional Recurrent Neural Network". IEEE Sensors Journal. 20 (15): 8711–8720. Bibcode:2020ISenJ.

Decision field theory (3,213 words) [view diff] exact match in snippet view article find links to article

such as the decision field theory, can be viewed as stochastic recurrent neural network models, except that the dynamics are approximated by linear systems

Henri Bergson (10,021 words) [view diff] case mismatch in snippet view article find links to article

Bergson-Inspired Adaptive Time Constant for the Multiple Timescales Recurrent Neural Network Model. JNNS". "Proceedings of the 28th Annual Conference of the

Refik Anadol (4,083 words) [view diff] exact match in snippet view article find links to article

generated using a StyleGAN algorithm to retrieve and process images. A recurrent neural network absorbed and integrated audio. Machine Hallucinations: NYC inaugurated

Fakhreddine Karray (1,954 words) [view diff] exact match in snippet view article find links to article

advancements in driver monitoring involved the introduction of a deep recurrent neural network-based system which predicted imminent driving maneuvers by utilizing