Deep transfer learning for classification of time-delayed Gaussian networks

Deep transfer learning for classification of time-delayed Gaussian networks

In this paper, we propose deep transfer learning for classifcation of Gaussian networks with time-delayed regulations. To ensure robust signaling, most real world problems from related domains have inherent alternate pathways that can be learned incrementally from a stable form of the baseline. In t...

Saved in:

書目詳細資料
Main Authors:	Chaturvedi, Iti, Ong, Yew Soon, Arumugam, R. V.
其他作者:	School of Computer Engineering
格式:	Article
語言:	English
出版:	2016
主題:	Gaussian networks Deep Neural Networks Transfer Learning Manifold Time-delays Variable-order
在線閱讀:	https://hdl.handle.net/10356/82815 http://hdl.handle.net/10220/40335
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Highly precise modelling of resonant coils based on deep neural networks for wireless power transfer systems
由: Li, Zhaokun
出版: (2024)

Stability analysis of delayed neural networks via compound-parameter-based integral inequality
由: Xue, Wenlong, et al.
出版: (2024)

Adaptive Neural Network Control of Nonlinear Systems with Unknown Time Delays
由: Ge, S.S., et al.
出版: (2014)

Adaptive Neural Control of Nonlinear Time-Delay Systems with Unknown Virtual Control Coefficients
由: Ge, S.S., et al.
出版: (2014)

MANIFOLD FITTING AND GENERATIVE NEURAL NETWORKS
由: SU JIAJI
出版: (2023)

Biomedical image classification based on a feature concatenation and ensemble of deep CNNs
由: Nguyen, Long D., et al.
出版: (2021)

Controller Design for Synchronization of Neural Networks with Time-varying Delays and Hybrid Couplings
由: Narongsak Yotha, et al.
出版: (2018)

LMI-based stability criteria for neural networks with multiple time-varying delays
由: He, Y., et al.
出版: (2014)

Adaptive neural control for a class of nonlinear systems with uncertain hysteresis inputs and time-varying state delays
由: Ren, B., et al.
出版: (2014)

Stationary oscillation for high-order Hopfield neural networks with time delays and impulses
由: Zhang, Y., et al.
出版: (2014)

NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
由: YU HAIBIN
出版: (2020)

Research on adaptive neural network control system based on nonlinear U-Model with time-varying delay
由: Xu, F, et al.
出版: (2020)

Large vocabulary Mandarin Final recognition based on Two-Level Time-Delay Neural Networks (TLTDNN)
由: Poo, G.-S.
出版: (2014)

Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory
由: Sun, Y., et al.
出版: (2014)

Robust adaptive neural network control for nonlinear MIMO time-delay systems
由: Tee, K.P., et al.
出版: (2014)

Absolute periodicity and absolute stability of delayed neural networks
由: Yi, Z., et al.
出版: (2014)

Practical adaptive neural control of nonlinear systems with unknown time delays
由: Hong, F., et al.
出版: (2014)

Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
由: Saw, Vee-Liem, et al.
出版: (2023)

Estimator design for discrete-time switched neural networks with asynchronous switching and time-varying delay
由: Zhang, D., et al.
出版: (2014)

LEARNING DEEP REPRESENTATIONS: PLATFORM AND ALGORITHMS
由: LIN MIN
出版: (2016)

Deep neural network-based bandwidth enhancement of photoacoustic data
由: Gutta, Sreedevi, et al.
出版: (2017)

TOWARDS SCALABLE GRADIENT-BASED HYPERPARAMETER OPTIMIZATION IN DEEP NEURAL NETWORKS
由: FU JIE
出版: (2017)

A deep branching solver for fully nonlinear partial differential equations
由: Nguwi, Jiang Yu, et al.
出版: (2024)

Global convergence of Lotka-Volterra recurrent neural networks with delays
由: Yi, Z., et al.
出版: (2014)

Learning variable ordering heuristics for solving constraint satisfaction problems
由: SONG, Wen, et al.
出版: (2022)

Approximation of a variable-length delay line by using tapped delay line processing
由: Ko, C.C., et al.
出版: (2014)

APPLICATION OF DEEP LEARNING METHODS IN BRAIN-COMPUTER INTERFACE SYSTEMS
由: SIAVASH SAKHAVI
出版: (2018)

Delay-dependent state estimation for delayed neural networks
由: He, Y., et al.
出版: (2014)

Protecting deep learning algorithms from model theft
由: Pang, Song Chen
出版: (2024)

TOWARDS CONCISE REPRESENTATION LEARNING ON DEEP NEURAL NETWORKS
由: YUAN LI
出版: (2021)

Laplacian-Steered Neural Style Transfer
由: Shaohua Li, et al.
出版: (2020)

DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction
由: HOANG, Thong, et al.
出版: (2019)

Highly sensitive inference of time-delayed gene regulation by network deconvolution
由: Chen, Haifen, et al.
出版: (2016)

Stealthy and robust backdoor attack on deep neural networks based on data augmentation
由: Xu, Chaohui, et al.
出版: (2024)

Diffense: defense against backdoor attacks on deep neural networks with latent diffusion
由: Hu, Bowen, et al.
出版: (2025)

Meta-analytic Gaussian Network Aggregation
由: Epskamp, Sacha, et al.
出版: (2022)

Learning gene network using time-delayed Bayesian network
由: Liu, T.-F., et al.
出版: (2013)

DeepDIST: a black-box anti-collusion framework for secure distribution of deep models
由: Cheng, Hang, et al.
出版: (2023)

Network traffic classification based on deep learning
由: Cheng, Li
出版: (2023)

Recent advances in deep learning for object detection
由: WU, Xiongwei, et al.
出版: (2020)