The following pages link to Projection pursuit (Q1077847):
Displaying 50 items.
- An adaptive multiscale basis method for modelling discrete-time non-linear dynamical systems (Q3151616) (← links)
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting (Q3165726) (← links)
- On the Use of Independent Component Analysis to Denoise Side-Channel Measurements (Q3297552) (← links)
- Projection pursuit approach to robust canonical correlation analysis (Q3297989) (← links)
- Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization (Q3298450) (← links)
- On the convergence of greedy algorithms for initial segments of the Haar basis (Q3559982) (← links)
- A HYBRID SUPPORT VECTOR REGRESSION APPROACH FOR RAINFALL FORECASTING USING PARTICLE SWARM OPTIMIZATION AND PROJECTION PURSUIT TECHNOLOGY (Q3568488) (← links)
- The use of probabilistic models to produce optimal graphical displays of high-dimensional data sets (Q3598241) (← links)
- Independent Component Analysis (ICA) Using Pearsonian Density Function (Q3614935) (← links)
- Topology and data (Q3623561) (← links)
- A Semiparametric Approach to Canonical Analysis (Q3631458) (← links)
- A nonparametric allocation scheme for classification based on transvariation probabilities (Q3638529) (← links)
- Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies (Q3646118) (← links)
- What is Projection Pursuit? (Q3769796) (← links)
- Principal components analysis and optimization of graphical displays (Q3785794) (← links)
- (Q3809047) (← links)
- Exploratory Projection Pursuit (Q3814576) (← links)
- Remarks on projection pursuit regression and density estimation (Q4005831) (← links)
- Applications of empirical characteristic functions in some multivariate problems (Q4036392) (← links)
- Estimation of Network Parameters in Semiparametric Stochastic Perceptron (Q4323350) (← links)
- Influence Function Analysis of PCA and BCM Learning (Q4323352) (← links)
- A new estimator of entropy (Q4337076) (← links)
- Some blum-kiefer-rosenblatt type tests for the joint independence of variables (Q4337255) (← links)
- A nonparametric approach to k-sample inference based on entropy (Q4372866) (← links)
- Projection pursuit by involution (Q4387631) (← links)
- Localization of Function via Lesion Analysis (Q4408934) (← links)
- The discrimination power of projection pursuit with different density estimators (Q4547582) (← links)
- Testing for Normality When the Sampled Distribution Is Extended Skew-Normal (Q4561911) (← links)
- A Review on Dimension-Reduction Based Tests For Regressions (Q4609015) (← links)
- Independent Component Analysis and Immunization: An Exploratory Study (Q4812333) (← links)
- A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case (Q4816849) (← links)
- Artificial neural networks: an econometric perspective<sup>∗</sup> (Q4853078) (← links)
- Model order reduction using neural network principal component analysis and generalized dimensional analysis (Q4908018) (← links)
- An algebra for periodic rhythms and scales (Q4922583) (← links)
- Sequential subspace change point detection (Q4965650) (← links)
- (Q5011438) (← links)
- ACCURACY OF NONPARAMETRIC DENSITY ESTIMATION FOR UNIVARIATE GAUSSIAN MIXTURE MODELS: A COMPARATIVE STUDY (Q5016270) (← links)
- Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions (Q5057084) (← links)
- REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (Q5082787) (← links)
- Robust estimation of the mean vector for high-dimensional data set using robust clustering (Q5130235) (← links)
- Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace (Q5141231) (← links)
- Gini s ideas: new perspectives for modern multivariate statistical analysis (Q5148376) (← links)
- Reducing data dimension for cluster detection (Q5218933) (← links)
- Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions (Q5220403) (← links)
- Linear Non-Gaussian Component Analysis Via Maximum Likelihood (Q5229915) (← links)
- Sampling in Image Representation and Compression (Q5249768) (← links)
- An iterative orthogonal forward regression algorithm (Q5252870) (← links)
- Robust Winsorized Regression Using Bootstrap Approach (Q5305492) (← links)
- Approximation by sums of ridge functions with fixed directions (Q5369335) (← links)
- Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation (Q5380548) (← links)
