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北京大学 [5]
大连理工大学 [5]
清华大学 [3]
山东大学 [2]
中南大学 [2]
兰州理工大学 [1]
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期刊论文 [17]
会议论文 [5]
其他 [4]
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2016 [2]
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Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:
Luo, Xin
;
Qin, Wen
;
Dong, Ani
;
Sedraoui, Khaled
;
Zhou, MengChu
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/03/17
Big data
industrial application
industrial data
latent factor analysis
machine learning
parallel algorithm
recommender system (RS)
stochastic gradient descent (SGD)
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:
Xin Luo
;
Wen Qin
;
Ani Dong
;
Khaled Sedraoui
;
MengChu Zhou
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/04/09
Big data
industrial application
industrial data
latent factor analysis
machine learning
parallel algorithm
recommender system (RS)
stochastic gradient descent (SGD)
Listwise approach based on the cross-correntropy for learning to rank
期刊论文
ELECTRONICS LETTERS, 2018, 卷号: 54, 页码: 878-879
作者:
Wu, Mintao
;
Zhu, Jihua
;
Wang, Jun
;
Pang, Shanmin
;
Li, Yaochen
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
cross-correntropy loss
training model
learning to rank
document retrieval
neural network model
listwise approach
learning (artificial intelligence)
information retrieval
gradient methods
entropy
listwise loss function
ListCCE
gradient descent algorithm
Semi-Supervised Minimum Error Entropy Principle with Distributed Method
期刊论文
ENTROPY, 2018, 卷号: 20, 期号: 12
作者:
Wang, Baobin
;
Hu, Ting
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
information theoretical learning
distributed method
MEE algorithm
semi-supervised approach
gradient descent
reproducing kernel Hilbert spaces
Automatic Search Algorithms for Near-Field Ferromagnetic Targets Based on Magnetic Anomaly Detection
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 卷号: 2018
作者:
Zhang, Mengying
;
Wang, Hua
;
Ge, Lin
;
Cheng, Hao
;
Cheng, Feng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Ferromagnetic materials
Ferromagnetism
Automatic searches
Gradient search algorithms
Magnetic anomalies
Magnetic anomaly detection
Performance of algorithm
Prior information
Real time performance
Search Algorithms
Learning algorithms
BYY harmony learning of t-mixtures with the application to image segmentation based on contourlet texture features
其他
2016-01-01
Jiang, Yunsheng
;
Liu, Chenglin
;
Ma, Jinwen
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2017/12/03
Bayesian Ying-Yang (BYY) harmony learning
Multivariate t-mixture
Gradient learning
Model selection
Contourlet texture features
AUTOMATED MODEL SELECTION
GAUSSIAN MIXTURE
FINITE MIXTURE
ALGORITHM
DISTRIBUTIONS
RPCL
Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models
期刊论文
NEURAL PROCESSING LETTERS, 2016, 卷号: 43, 页码: 745-758
作者:
Liu, Yan
;
Yang, Dakun
;
Nan, Nan
;
Guo, Li
;
Zhang, Jianjun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
TSK fuzzy models
Pi-sigma network
Strong convergence
Gradient-based learning algorithm
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
期刊论文
Energy Conversion and Management, 2015, 卷号: 92, 页码: 67-81
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Li, Yan-Fei
;
Zhang, Lei
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/03
AA
Apriori Algorithm
RBF
Radial Basis Functions
SVR
Support Vector Regression
WDF
Weibull Distribution Function
MSM
Markov Switching Model
BI
Bayesian Interface
PM
Persistent Model
AR
Auto Regressive
ANN
artificial neural networks
BSBM
Bayesian Structural Break Model
KRRM
Kernel Ridge Regression Method
ALS
Active Learning Strategies
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MLP
Multilayer Perceptron
BP
Back Propagation
KSF
Kalman Short-term Filtering
NWP
Numerical Weather Prediction
GA
Genetic Algorithm
PSO
Particle Swarm Optimization
PCA
Principal Component Analysis
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
BT
Bayesian Theory
SBM
Structural Break Modeling
UKF
Unscented Kalman Filter
OFM
Organizing Feature Maps
EMD
Empirical Mode Decomposition
WT
Wavelet Transform
SVM
Support Vector Machine
ARIMA
Auto Regressive Integrated Moving Average
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
Adaboost
Adaptive Boosting
GD-ALR-BP
Gradient Descent with Adaptive Learning Rate Back Propagation
GDM-ALR-BP
Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation
CG-BP-FR
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
BFGS
Broyden–Fletcher–Goldfarb–Shanno
Wind energy
Wind speed forecasting
Wind speed predictions
Adaboost algorithm
Neural networks
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks
期刊论文
Applied Energy, 2015, 卷号: 157, 页码: 183-194
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Liang, Xi-Feng
;
Li, Yan-Fei
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/12/03
ARIMA
Auto Regressive Integrated Moving Average
ANN
Artificial Neural Networks
KF
Kalman Filter
MSM
Markov Switching Model
PCA
Principal Component Analysis
AA
Apriori Algorithm
BT
Bayesian Theory
SBM
Structural Break Modeling
GMCM
Gaussian Mixture Copula Model
NWP
Numerical Weather Prediction
KSF
Kalman Short-term Filtering
HIRLAM
High Resolution Limited Area Model
BP
Back Propagation
RBF
Radial Basis Function
ALE
Adaptive Linear Element
MAS
Multiple Architecture System
MLR
Multiple Linear Regression
MLP
Multi-Layer Perceptron
RBF
Radial Basis Function
SVM
Support Vector Machine
ABA
Ada-boost Algorithm
PSO
Particle Swarm Optimization
FAC
First-order Adaptive Coefficient
SAC
Second-order Adaptive Coefficient
SAA
Seasonal Adjustment Algorithm
ESM
Exponential Smoothing Method
MFNN
Multi-layer Feed-forward Neural Networks
FRR
Fuzzy Rough Regression
ELM
Extreme Learning Machines
MM5
Fifth Generation Mesoscale Model
GNWP
Global Numerical Weather Prediction
EPA
Evolutionary Programming Algorithm
OFM
Organizing Feature Maps
WD
Wavelet Decomposition
WPD
Wavelet Packet Decomposition
NF
Neuro-Fuzzy
ANFIS
Adaptive Neuro-Fuzzy Inference Systems
PM
Persistent Model
UKF
Unscented Kalman Filter
SVR
Support Vector Regression
FEEMD
Fast Ensemble Empirical Mode Decomposition
HM
Hammerstein Model
AR
Auto Regressive
EMD
Empirical Mode Decomposition
SDA
Secondary Decomposition Algorithm
PRWM
Persistent Random Walk Model
IMFs
Intrinsic Mode Functions
EEMD
Ensemble Empirical Mode Decomposition
GD-BP
Gradient Descent Back Propagation
GDM-BP
Gradient Descent with Momentum Back Propagation
GD-ALR-BP
Gradient Descent with Adaptive Learning Rate Back Propagation
GDM-ALR-BP
Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation
CG-BP-FRU
Conjugate Gradient Back Propagation with Fletcher-Reeves Updates
CG-BP-PR
Conjugate Gradient Back Propagation with Polak-Ribiére Update
CG-BP-PBR
Conjugate Gradient Back Propagation with Powell-Beale Restarts
SCG-BP
Scaled Conjugate Gradient Back Propagation
BFGS-BP
Broyden-Fletcher-Goldfarb-Shanno Back Propagation
OSS-BP
One Step Secant Back Propagation
LM-BP
Levenberg Marquardt Back Propagation
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
RMSE
Root Mean Square Error
Wind speed forecasting
Secondary decomposition algorithm
Wavelet packet decomposition
Fast ensemble empirical mode decomposition
Elman neural networks
Adaptive On-Line Optimizing the Gaussian Kernel for Classification based on the Kernel Target Alignment
会议论文
作者:
Xiao, Yulin
;
Zhong, Shangping
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/21
kernel optimization
kernel methods
gradient descent algorithm
kernel target alignment
adaptive on-line learning
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