A simulation study on comparison of prediction methods when only a few components are relevant
Computational Statistics & Data Analysis
The symmetric eigenvalue problem
The symmetric eigenvalue problem
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Ridge Regression Learning Algorithm in Dual Variables
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Kernel partial least squares regression in reproducing kernel hilbert space
The Journal of Machine Learning Research
Efficient computations via scalable sparse kernel partial least squares and boosted latent features
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Kernelizing PLS, degrees of freedom, and efficient model selection
Proceedings of the 24th international conference on Machine learning
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
Partial least squares regression for graph mining
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Affine feature extraction: A generalization of the Fukunaga-Koontz transformation
Engineering Applications of Artificial Intelligence
A least squares formulation for a class of generalized eigenvalue problems in machine learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Exploiting motion correlations in 3-D articulated human motion tracking
IEEE Transactions on Image Processing
On the equivalence between canonical correlation analysis and orthonormalized partial least squares
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Expert Systems with Applications: An International Journal
An asymmetric classifier based on partial least squares
Pattern Recognition
A scalable two-stage approach for a class of dimensionality reduction techniques
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
An intelligent approach for improved predictive control of spray drying process
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
A robust and scalable approach to face identification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Automated nonlinear feature generation and classification of foot pressure lesions
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Prediction framework for statistical respiratory motion modeling
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Learning-based super resolution using kernel partial least squares
Image and Vision Computing
Artificial Intelligence in Medicine
Exploring the value of purchasing online game items
Computers in Human Behavior
Least squares online linear discriminant analysis
Expert Systems with Applications: An International Journal
Forecasting stock indices with wavelet domain kernel partial least square regressions
Applied Soft Computing
Pattern Recognition Letters
Background modeling via incremental maximum margin criterion
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Cross-pose face recognition based on partial least squares
Pattern Recognition Letters
Multi-score learning for affect recognition: the case of body postures
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Theoretical Analysis of Bayesian Matrix Factorization
The Journal of Machine Learning Research
Model selection for partial least squares based dimension reduction
Pattern Recognition Letters
Robust pose invariant face recognition using coupled latent space discriminant analysis
Computer Vision and Image Understanding
Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Learning query and document similarities from click-through bipartite graph with metadata
Proceedings of the sixth ACM international conference on Web search and data mining
Is standard multivariate analysis sufficient in clinical and epidemiological studies?
Journal of Biomedical Informatics
Human age estimation using ranking SVM
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
A data-driven detection optimization framework
Neurocomputing
Statistical framework for facial pose classification
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Annotation for free: video tagging by mining user search behavior
Proceedings of the 21st ACM international conference on Multimedia
Global analytic solution of fully-observed variational Bayesian matrix factorization
The Journal of Machine Learning Research
Integrated multiscale latent variable regression and application to distillation columns
Modelling and Simulation in Engineering
Partial least squares regression on grassmannian manifold for emotion recognition
Proceedings of the 15th ACM on International conference on multimodal interaction
Regularized latent least square regression for cross pose face recognition
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Bayesian sparse partial least squares
Neural Computation
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Kernel based approaches to local nonlinear non-parametric variable selection
Automatica (Journal of IFAC)
Supervised Distance Preserving Projections
Neural Processing Letters
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Partial Least Squares (PLS) is a wide class of methods for modeling relations between sets of observed variables by means of latent variables. It comprises of regression and classification tasks as well as dimension reduction techniques and modeling tools. The underlying assumption of all PLS methods is that the observed data is generated by a system or process which is driven by a small number of latent (not directly observed or measured) variables. Projections of the observed data to its latent structure by means of PLS was developed by Herman Wold and coworkers [48,49,52].