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Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
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Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

Yu, Zhou ; Yu, Jun ; Xiang, Chenchao ; Fan, Jianping ; Tao, Dacheng

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.5947-5959

United States: IEEE

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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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3
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
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A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control

Wang, Tong ; Gao, Huijun ; Qiu, Jianbin

IEEE transaction on neural networks and learning systems, 2016-02, Vol.27 (2), p.416-425

United States: IEEE

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4
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
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Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

Deng, Xiaogang ; Tian, Xuemin ; Chen, Sheng ; Harris, Chris J.

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.560-572

United States: IEEE

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5
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
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Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

Li, Decai ; Han, Min ; Wang, Jun

IEEE transaction on neural networks and learning systems, 2012-05, Vol.23 (5), p.787-799

New York, NY: IEEE

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6
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

Liu, Derong ; Wei, Qinglai

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.621-634

New York, NY: IEEE

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7
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models
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Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models

Xin Luo ; MengChu Zhou ; Yunni Xia ; Qingsheng Zhu ; Ammari, Ahmed Chiheb ; Alabdulwahab, Ahmed

IEEE transaction on neural networks and learning systems, 2016-03, Vol.27 (3), p.524-537

United States: IEEE

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8
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
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Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

Miao Hu ; Hai Li ; Yiran Chen ; Qing Wu ; Rose, Garrett S. ; Linderman, Richard W.

IEEE transaction on neural networks and learning systems, 2014-10, Vol.25 (10), p.1864-1878

United States: IEEE

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Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks
Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks
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Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

Gysel, Philipp ; Pimentel, Jon ; Motamedi, Mohammad ; Ghiasi, Soheil

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5784-5789

United States: IEEE

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Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation
Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation
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Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation

Liu, Mengjie ; Grinberg Dana, Alon ; Johnson, Matthew S ; Goldman, Mark J ; Jocher, Agnes ; Payne, A. Mark ; Grambow, Colin A ; Han, Kehang ; Yee, Nathan W ; Mazeau, Emily J ; Blondal, Katrin ; West, Richard H ; Goldsmith, C. Franklin ; Green, William H

Journal of chemical information and modeling, 2021-06, Vol.61 (6), p.2686-2696 [Periódico revisado por pares]

Washington: American Chemical Society

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