Lei Xu | Academic Influence

Q: What Schools Are Affiliated With Lei Xu

Lei Xu is affiliated with the following schools: Concordia University, Chinese University of Hong Kong, Hong Kong Polytechnic University, LUT University, University of Pittsburgh, Peking University, Harvard University

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Lei Xu's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Methods of combining multiple classifiers and their applications to handwriting recognition (1992) (2417)
On Convergence Properties of the EM Algorithm for Gaussian Mixtures (1996) (856)
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection (1993) (654)
Least mean square error reconstruction principle for self-organizing neural-nets (1993) (347)
Convergence results for the EM approach to mixtures of experts architectures (1995) (326)
An Alternative Model for Mixtures of Experts (1994) (278)
Modified Hebbian learning for curve and surface fitting (1992) (262)
Probabilistic and non-probabilistic Hough transforms: overview and comparisons (1995) (250)
Robust principal component analysis by self-organizing rules based on statistical physics approach (1995) (249)
Visualizing kinetic pathways of homogeneous nucleation in colloidal crystallization (2013) (186)
2008 Special Issue: BSMART: A Matlab/C toolbox for analysis of multichannel neural time series (2008) (183)
Bayesian Ying-Yang machine, clustering and number of clusters (1997) (159)
Synthesizing Tabular Data using Generative Adversarial Networks (2018) (142)
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 (2003) (137)
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models (2002) (120)
RBF nets, mixture experts, and Bayesian Ying-Yang learning (1998) (112)
Independent component ordering in ICA time series analysis (2001) (103)
Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures (2000) (98)
BYY harmony learning, independent state space, and generalized APT financial analyses (2001) (93)
Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load (2019) (89)
Learned parametric mixture based ICA algorithm (1998) (89)
Temporal BYY learning for state space approach, hidden Markov model, and blind source separation (2000) (83)
Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models (2001) (76)
Radar HRRP statistical recognition with temporal factor analysis by automatic Bayesian Ying-Yang harmony learning (2010) (76)
An Extended Path Following Algorithm for Graph-Matching Problem (2012) (73)
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection (2004) (63)
Rival penalized competitive learning, finite mixture, and multisets clustering (1998) (63)
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination (2004) (57)
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving (2007) (57)
Independent component analysis by the information-theoretic approach with mixture of densities (1997) (55)
A PCA approach for fast retrieval of structural patterns in attributed graphs (2001) (55)
Investigation on Several Model Selection Criteria for Determining the Number of Cluster (2004) (54)
How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition (1996) (54)
Bayesian Ying-Yang system, best harmony learning, and five action circling (2010) (52)
Data smoothing regularization, multi-sets-learning, and problem solving strategies (2003) (51)
Bayesian Kullback Ying-Yang dependence reduction theory (1998) (50)
Modeling Inter‐Subject Variability in fMRI Activation Location: A Bayesian Hierarchical Spatial Model (2009) (46)
Comparisons of Probabilistic and Non-probabilistic Hough Transforms (1994) (45)
Theories for unsupervised learning: PCA and its nonlinear extensions (1994) (42)
One-Bit-Matching Conjecture for Independent Component Analysis (2004) (39)
A Comparative Study of Several Cluster Number Selection Criteria (2003) (38)
Neural Nets for Dual Subspace Pattern Recognition Method (1991) (38)
Finite Mixture of ARMA-GARCH Model for Stock Price Prediction (2003) (36)
Improved system for object detection and star/galaxy classification via local subspace analysis (2003) (36)
Unsupervised and supervised classifications by rival penalized competitive learning (1992) (35)
BSMART: A Matlab/C (2008) (30)
Combining Classifiers and Learning Mixture-of-Experts (2009) (29)
Dual multivariate auto-regressive modeling in state space for temporal signal separation (2003) (28)
Strip line detection and thinning by RPCL-based local PCA (2003) (28)
Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach I for Unsupervised and Semi Unsupervised Learning (1997) (27)
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning (1992) (27)
Large margin clustering on uncertain data by considering probability distribution similarity (2015) (27)
BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units (2003) (26)
GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection (2010) (26)
New Sharpe-ratio-related methods for portfolio selection (2000) (25)
Independent Component Analysis and Extensions with Noise and Time : A Bayesian Ying-Yang Learning Perspective (2003) (24)
On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications (2012) (24)
An extended ASLD trading system to enhance portfolio management (2003) (24)
Multisets mixture learning-based ellipse detection (2006) (23)
Temporal BYY encoding, Markovian state spaces, and space dimension determination (2004) (23)
A theoretical investigation of several model selection criteria for dimensionality reduction (2012) (22)
Multisets modeling learning: an unified theory for supervised and unsupervised learning (1994) (21)
Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture (2005) (21)
Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family (2008) (20)
Bayesian Ying-Yang learning based ICA models (1997) (20)
Medical data mining model for oriental medicine via BYY Binary Independent Factor Analysis (2003) (20)
A comparative investigation on subspace dimension determination (2004) (19)
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding (2021) (19)
Codimensional matrix pairing perspective of BYY harmony learning: hierarchy of bilinear systems, joint decomposition of data-covariance, and applications of network biology (2011) (19)
An empirical method to select dominant independent components in ICA for time series analysis (1999) (18)
Machine learning problems from optimization perspective (2010) (18)
Adaptive supervised learning decision networks for traders and portfolios (1997) (18)
Independent Component Analysis and Extensions with Noise and Time: A Bayesian Ying-Yang Learning Perspective (2003) (18)
Learning Algorithms for RBF Functions and Subspace Based Functions (2012) (17)
Arbitrage pricing theory-based Gaussian temporal factor analysis for adaptive portfolio management (2004) (17)
Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach: (V) Temporal Modeling for Temporal Perception and Control (1998) (17)
Topological local principal component analysis (2002) (17)
A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective (2007) (17)
Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling (2004) (17)
Nonlinearity and Separation Capability: Further Justiication for the Ica Algorithm with a Learned Mixture of Parametric Densities (1997) (16)
Best harmony, unified RPCL and automated model selection for unsupervised and supervised learning on Gaussian mixtures, ME-RBF models and three-layer nets (2001) (16)
Synthesizing Tabular Data using Conditional GAN (2020) (16)
Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures (1997) (15)
Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization (2004) (15)
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment (1997) (14)
Canonical Dual Approach to Binary Factor Analysis (2009) (14)
Some global and local convergence analysis on the information-theoretic independent component analysis approach (2000) (14)
Learning Gaussian mixture with automatic model selection: A comparative study on three Bayesian related approaches (2011) (14)
An Overview on Unsupervised Learning from Data Mining Perspective (2001) (14)
A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem (2001) (13)
An MPC-Based Optimal Control Strategy of Active Thermal Storage in Commercial Buildings during Fast Demand Response Events in Smart Grids (2019) (13)
A Uni ed Learning Framework Multisets Modeling Learning (1995) (13)
Further developments on RHT: basic mechanisms, algorithms, and computational complexities (1992) (13)
A new multivariate test formulation: theory, implementation, and applications to genome-scale sequencing and expression (2016) (13)
Fundamentals, Challenges, and Advances of Statistical Learning for Knowledge Discovery and Problem Solving: A BYY Harmony Perspective (2005) (13)
Bi-linear matrix-variate analyses, integrative hypothesis tests, and case-control studies (2015) (13)
A Barrier Function Method for the Nonconvex Quadratic Programming Problem with Box Constraints (2000) (13)
Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation (1999) (12)
Modeling Tabular Data using Conditional GAN (2019) (12)
A RPCL-CLP architecture for financial time series forecasting (1995) (12)
A Further Result on the ICA One-Bit-Matching Conjecture (2005) (12)
Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation (2000) (11)
Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components (1999) (11)
A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem (2002) (11)
Bayesian Ying-Yang System and Theory as A Uni ed Statistical Learning Approach (II): From Unsupervised Learning to Supervised Learning and Temporal Modeling ? (1997) (11)
Convergence analysis of rival penalized competitive learning (RPCL) algorithm (2002) (11)
One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics (2007) (11)
Separation of two independent sources by the information-theoretic approach with cubic nonlinearity (1997) (10)
Discriminative training of GMM-HMM acoustic model by RPCL learning (2011) (10)
New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals (1997) (10)
Bayesian Ying Yang System and Theory as A Uni ed Statistical Learning Approach III Models and Algorithms for Dependence Reduction Data Dimension Reduction ICA and Supervised Learning (1997) (10)
Application of adaptive RPCL-CLP with trading system to foreign exchange investment (1996) (10)
On Radial Basis Function Net and Kernel Regression: Approximation Ability, Convergence Rate and Receptive Field Size (1993) (10)
Further advances on Bayesian Ying-Yang harmony learning (2015) (10)
Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application (2006) (10)
Parameterizations make different model selections: Empirical findings from factor analysis (2011) (9)
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization (2005) (9)
Data mining, unsupervised learning and Bayesian ying-yang theory (1999) (9)
Temporal BYY learning and its applications to extended Kalman filtering, hidden Markov model, and sensor-motor integration (1999) (9)
An application of independent component analysis in the arbitrage pricing theory (2000) (8)
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment (1996) (8)
Bayesian Self-Organization Driven by Prior Probability Distributions (1995) (8)
Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps (1990) (8)
Independent Subspaces (2009) (8)
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction (2009) (8)
A graph matching algorithm based on concavely regularized convex relaxation (2014) (8)
Investigations on non-Gaussian factor analysis (2004) (8)
Bayesian Ying-Yang system and theory as a unified statistical learning approach. IV. Further advances (1998) (7)
An adaptive optimal monthly peak building demand limiting strategy considering load uncertainty (2019) (7)
BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number (1998) (7)
Improving classification accuracy on uncertain data by considering multiple subclasses (2012) (7)
An RPCL-based approach for Markov model identification with unknown state number (2000) (7)
Learning Multiple Causes by Competition Enhanced least mean Square error Reconstruction (1996) (7)
A study of several model selection criteria for determining the number of signals (2010) (7)
BKYY dimension reduction and determination (1998) (7)
Bayesian Ying Yang Learning ( II ) : A New Mechanism for Model Selection and Regularization (2004) (7)
A STATISTICAL APPROACH TO TESTING MUTUAL INDEPENDENCE OF ICA RECOVERED SOURCES (2003) (7)
An investigation of several typical model selection criteria for detecting the number of signals (2011) (6)
Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study, and Boundary Based Statistics (2013) (6)
A heuristic approach to effective and efficient clustering on uncertain objects (2014) (6)
Bayesian Ying Yang Learning ( I ) : A Unified Perspective for Statistical Modeling (2004) (6)
Projection-embedded BYY learning algorithm for Gaussian mixture-based clustering (2014) (6)
Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing (2003) (6)
Application of Mixture of Experts Model To Financial Time Series Forecasting (1995) (6)
BYY data smoothing based learning on a small size of samples (1999) (6)
Bayesian Self-Organization (1993) (6)
Distance-Based Feature Selection on Classification of Uncertain Objects (2011) (6)
Mining Dependence Structures from Statistical Learning Perspective (2002) (6)
Machine learning and intelligence science: Sino-foreign interchange workshop IScIDE2010 (A) (2011) (6)
Bayesian ying-yang supervised learning, modular models, and three layer nets (1999) (5)
A Dual Structural Radial Basis Function Network for Recursive Function Estimation (2001) (5)
An adaptive BYY harmony learning algorithm and its relation to rewarding and penalizing competitive learning mechanism (2002) (5)
Best Harmony Learning (2000) (5)
A comparative study of Gaussian TFA learning and statistical tests on the factor number in APT (2002) (5)
An annealing approach to BYY harmony learning on Gaussian mixture with automated model selection (2003) (5)
Learning local factor analysis versus mixture of factor analyzers with automatic model selection (2014) (5)
Channel equalization by finite mixtures and the EM algorithm (1995) (5)
Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation" (2003) (5)
Semi-blind bilinear matrix system, BYY harmony learning, and gene analysis applications (2012) (5)
A Comparative Investigation on Model Selection in Independent Factor Analysis (2006) (5)
Machine learning and causal analyses for modeling financial and economic data (2018) (5)
Distribution approximation, combinatorial optimization, and Lagrange-Barrier (2003) (5)
Empirical Comparison between Two Computational Strategies for Topological Self-Organization (2003) (5)
Investigation on Multisets Mixture Learning Based Object Detection (2007) (4)
Local PCA for Strip Line Detection and Thinning (2003) (4)
Region number determination in automatic image segmentation based on BKYY model selection criterion (1999) (4)
Matrix-Variate Discriminative Analysis, Integrative Hypothesis Testing, and Geno-Pheno A5 Analyzer (2012) (4)
Temporal factor analysis (TFA): stable-identifiable family, orthogonal flow learning, and automated model selection (2002) (4)
Emerging themes on information theory and Bayesian approach (2010) (4)
The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis (1999) (4)
2002 Special Issue BYY harmony learning, structural RPCL, and topological self-organizing on mixture models q (2002) (4)
BYY dependence reduction theory and blind source separation (1998) (4)
Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm (2003) (4)
Application of adaptive RPCL-CLP with trading system to foreign exchange investment (1996) (4)
Learning binary factor analysis with automatic model selection (2014) (4)
Electroencephalogram Based Brain-Computer Interface: Key Techniques and Application Prospect (2009) (4)
A* Tree Search for Portfolio Management (2019) (3)
Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model (1996) (3)
Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns (2003) (3)
An iterative algorithm for BYY learning on Gaussian mixture with automated model selection (2003) (3)
Recent advances on techniques and theories of feedforward networks with supervised learning (1992) (3)
Relationship between mixture of experts and ensemble neural networks (1999) (3)
Bayesian Spatial Modeling of fMRI Data: A Multiple Subject Analysis. (2007) (3)
Automatic Cluster Number Determination via BYY Harmony Learning (2004) (3)
A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination (2005) (3)
Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning (2002) (3)
SSL-SP: A Semi-Supervised-Learning-Based Stream Partitioning Method for Scale Iterated Scheduling in Time-Sensitive Networks (2021) (3)
BYY harmony learning, local independent analyses, and APT financial applications (2001) (3)
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation (1998) (3)
A comparative study of RPCL and MCE based discriminative training methods for LVCSR (2011) (3)
Data-smoothing regularization, normalization regularization, and competition-penalty mechanism for statistical learning and multi-agents (2003) (3)
An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts (1997) (3)
Further study of adaptive supervised learning decision (ASLD) network in stock market (1999) (2)
A Unified Perspective on Advances of Independent Subspaces: Basic, Temporal, and Local Structures (2007) (2)
Bayesian Ying-Yang harmony learning, information theory and information geometry (2001) (2)
Guest Editorial Special Issue on Information Theoretic Learning (2004) (2)
An experimental comparison of the Bayesian Ying-Yang criteria and cross validation for selection on number of hidden units in feedforward networks (1998) (2)
Modeling macroeconomic indexes from S&P 500 stocks via arbitrage pricing theory and temporary factor analysis (2001) (2)
AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects (2016) (2)
A Unifled Learning Framework: Multisets Modeling Learning 1 (1995) (2)
Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses" (2002) (2)
Cointegration by MCA and modular MCA (1998) (2)
Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition (2004) (2)
Further improvement of adaptive supervised learning decision (ASLD) network in stock market (1999) (2)
On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique (1999) (2)
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network (2006) (2)
Comparative studies on multivariate tests for joint-SNVs analysis and detection for bipolar disorder susceptibility genes (2017) (2)
On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model (2003) (2)
Adaptive RBF net algorithms for nonlinear signal learning with applications to financial prediction and investment (1998) (1)
A Comparative Study on Three MAP Factor Estimate Approaches for NFA (2002) (1)
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management (2002) (1)
Special issue on information theoretic learning. (2004) (1)
Local subspace analysis for astronomical object detection and star/galaxy classification (2002) (1)
Synthesizing Tabular Data using Generative Adversarial Networks (2018) (1)
Corrigendum to "BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units" [Neurocomputing 51 (2003) 277-301] (2003) (1)
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning (2010) (1)
White Noise Tests and Synthesis of APT Economic Factors Using TFA (2004) (1)
Modeling Disease Progression via Weakly Supervised Temporal Multitask Matrix Completion (2020) (1)
TESTS OF GAUSSIAN TEMPORAL FACTOR LOADINGS IN FINANCIAL APT (2001) (1)
Automatic model selection on local gaussian structures with priors: comparative investigations and applications (2012) (1)
Mean-Variance Adjusting Model for Portfolio Selection Problem with Fuzzy Random Returns (2014) (1)
STOCK FORECASTING BY ARCH DRIVEN GAUSSIAN TFA AND ALTERNATIVE MIXTURE-OF-EXPERTS MODELS (2003) (1)
Stimulant-Induced Spatial Temporal Patterns in Pet Data : Illustrations Using SPM, Manacova-CVA and PLS (2005) (1)
Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial–temporal pattern from positron emission tomography data (2007) (1)
Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease (2017) (1)
BYY binary independent systems, unsupervised harmony learning, and data mining of production rules (2001) (1)
NFA FOR FACTOR NUMBER DETERMINATION IN APT (2004) (1)
A non-Gaussian factor analysis approach to transcription Network Component Analysis (2012) (1)
On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model (2002) (1)
An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts (1998) (1)
A Heuristic on Effective and Efficient Clustering on Uncertain Objects (2010) (1)
New Mechanism for Model Selection and Regularization (2004) (1)
Adaptive optimal monthly peak building demand limiting strategy based on exploration-exploitation tradeoff (2020) (1)
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models (2006) (1)
Discriminative GMM-HMM Acoustic Model Selection Using Two-Level Bayesian Ying-Yang Harmony Learning (2012) (1)
Transcription network analysis by a sparse binary factor analysis algorithm. (2012) (1)
Investigation on bayesian ying-yang learning for model selection in unsupervised learning (2006) (0)
White Noise Tests and APT Economic Factor Syntheses Using Temporal Factor Analysis (2002) (0)
Image denoising, local factor analysis, Bayesian Ying-Yang harmony learning (2015) (0)
Speaker Identification by BYY Automatic Local Factor Analysis based Three-Level Voting Combination (2007) (0)
An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation (1999) (0)
Local Factor Analysis with Automatic Model Selection : A Comparative Study and Digits Recognition Application (0)
FUZZY METHOD FOR FAILURE CRITICALITY ANALYSIS (2000) (0)
Machine learning and intelligence science: IScIDE (C) (2012) (0)
Modeling Tabular Data using Conditional GAN (2019) (0)
Combining Classifiers and Learning Mixture-of-Experts (2018) (0)
A Weight Regularized Relaxation Based Graph Matching Algorithm (2011) (0)
Discriminative training of GMM-HMM acoustic model by RPCL type Bayesian Ying-Yang harmony learning (2011) (0)
Chapter 3 Learning Algorithms for RBF Functions and Subspace Based Functions (2009) (0)
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis (2008) (0)
Some results on L/sub 1/ convergence rate of RBF networks and kernel regression estimators (1994) (0)
Local Factor Analysis with Automatic Model Selection and Data Smoothing Based Regularization (2006) (0)
Some further studies on detection the number of clusters (1997) (0)
Model Selection and Automatic Model Selection for Statistical Learning : A Comparative Study on Local Factor Analysis (2007) (0)
2004 Special Issue A comparative investigation on subspace dimension determination (2004) (0)
Rethinking the Lintnerian Linear Valuation Model (2014) (0)
Clustering and classification on uncertain data (2013) (0)
Drop expansion driven by bubbling on microscale patterned substrates under low air pressure (2020) (0)
Spatial point process modelling of group fMRI data analysis (2009) (0)
On L/sub 1/ convergence rate of RBF networks and kernel regression estimators with applications in classification (1994) (0)
Automatic oriental medical diagnosis via BYY learning based discrete independent factor analysis (2005) (0)
MTLH: Video QoE Monitoring for Encrypted Traffic via Multi-Task Learning with Hierarchy (2020) (0)
Robust Sparse Low-rank Hypergraph Learning under Complex Noise (2020) (0)
Statistical learning and testing approaches for temporal dependence structures with application to financial engineering (2003) (0)
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis (2008) (0)
Theoretical Analysis of the One-Bit-of-Information Conjecture for Independent Component Analysis (2002) (0)
A proactive-adaptive monthly peak demand-limiting strategy for buildings with small-scale thermal storages considering load uncertainty (2019) (0)
Cross Random Effects Model Analysis for Residents' Income Influence Factor (2015) (0)
Learning Algorithms for RBF Functions and Subspace (2010) (0)
The probability distribution of parameters learned with the EM algorithm (1996) (0)
Least Mean Square Error Reconstruction Learning in Recurrent Network (1995) (0)
Quantitive analysis on papers of Computer Integrated Manufacturing Systems (2008) (0)
A Robust PCA by LMSER Learning with Iterative Error Reinforcement (2000) (0)
2 Independent Binary Factor Model via BYY harmony learning 2 . 1 Independent Binary Factor (2001) (0)
Zeros of extended FT and the reconstruction of finite length signal from its FT magnitude or phase (1987) (0)
Star-causality and factor analysis: old stories and new perspectives (2017) (0)
A Comparative Study on Lagrange Ying-Yang Alternation Method in Gaussian Mixture-Based Clustering (2017) (0)
Tri-Structured-Sparsity Induced Joint Feature Selection and Classification for Hybrid Noise Resilient Multilabel Learning (2020) (0)
A Probability Theory Perspective on the Zadeh Fuzzy System (2008) (0)
On L/sub 2/ convergence rates of radial basis function networks and kernel regression estimators (1994) (0)
Nonlinearity and Separation Capability (2005) (0)
Two methods for seismic signal classification (1987) (0)
Number of statistical independent factors in arbitrage pricing theory from the perspective of non-Gaussian factor analysis (2002) (0)
Statistical Learning for Dependence Mining and Problem Solving: Fundamentals, Challenges, and a Unified Theory (2005) (0)
A hierarchical spatial Bayesian model for multisubjectfunctional MRI data (2009) (0)
On Convergence Properties of the EM Algorithm for Gaussian Mixtures (2007) (0)
On Convergence Properties of the EM Algorithm for Gaussian Mixtures (2007) (0)
INDEPENDENT COMPONENT ANALYSIS: THE ONE-BIT-MATCHING CONJECTURE AND A SIMPLIFIED LPM-ICA ALGORITHM (2003) (0)
Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation (1999) (0)
Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification (1998) (0)
Adaptive improved portfolio Sharpe ratio maximization with diversification (2000) (0)

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What Schools Are Affiliated With Lei Xu?

Lei Xu is affiliated with the following schools: