Neural networks for functional approximation and system identification
Neural Computation
Conundrum of Combinatorial Complexity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation with infinite neural networks
Neural Computation
Bayesian radial basis functions of variable dimension
Neural Computation
A sparse representation for function approximation
Neural Computation
An equivalence between sparse approximation and support vector machines
Neural Computation
Introduction: Learning and Vision at CBCL
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Statistical Learning Theory: A Primer
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Morphable Models for the Analysis and Synthesis of Complex Motion Patterns
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Data mining with sparse grids using simplicial basis functions
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Unsupervised and supervised learning in radial-basis-function networks
Self-Organizing neural networks
Computing
Approximating networks and extended Ritz method for the solution of functional optimization problems
Journal of Optimization Theory and Applications
Feature-based and Clique-based User Models for Movie Selection: A Comparative Study
User Modeling and User-Adapted Interaction
Structural Modelling with Sparse Kernels
Machine Learning
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regularization and statistical learning theory for data analysis
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Fuzzy systems with overlapping Gaussian concepts: approximation properties in Sobolev norms
Fuzzy Sets and Systems - Fuzzy models
Natural discriminant analysis using interactive Potts models
Neural Computation
Hausdorff Kernel for 3D Object Acquisition and Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Image Segmentation by Flexible Models Based on Robust Regularized Networks
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Approximate Thin Plate Spline Mappings
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
On the Parallelization of the Sparse Grid Approach for Data Mining
LSSC '01 Proceedings of the Third International Conference on Large-Scale Scientific Computing-Revised Papers
A Short Review of Statistical Learning Theory
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Learning Preference Relations from Data
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Adapting Kernels by Variational Approach in SVM
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Learner's Self-Assessment: A Case Study of SVM for Information Retrieval
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Kernel-Based 3D Object Representation
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Tight Bounds on Rates of Neural-Network Approximation
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Mining Dependence Structures from Statistical Learning Perspective
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Kerneltron: Support Vector `Machine' in Silicon
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On the Noise Model of Support Vector Machines Regression
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
A Generalized Representer Theorem
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Learning Additive Models Online with Fast Evaluating Kernels
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
Neural Networks - New developments in self-organizing maps
On different facets of regularization theory
Neural Computation
Neural networks and the financial markets
Optimizing intelligent agent's constraint satisfaction with neural networks
Recent advances in intelligent paradigms and applications
Data smoothing regularization, multi-sets-learning, and problem solving strategies
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Computing with populations of monotonically tuned neurons
Neural Computation
Regularized principal manifolds
The Journal of Machine Learning Research
Kernel partial least squares regression in reproducing kernel hilbert space
The Journal of Machine Learning Research
Kernel independent component analysis
The Journal of Machine Learning Research
Grafting: fast, incremental feature selection by gradient descent in function space
The Journal of Machine Learning Research
Regularized B-spline network and its application to heart arrhythmia classification
Proceedings of the 2004 ACM symposium on Applied computing
Uncertainty Analysis of Memory Based Sensor Validation Techniques
Real-Time Systems
Are loss functions all the same?
Neural Computation
Improving generalization capabilities of dynamic neural networks
Neural Computation
Robust Full Bayesian Learning for Radial Basis Networks
Neural Computation
Hierarchical Bayesian Models for Regularization in Sequential Learning
Neural Computation
Do Simple Cells in Primary Visual Cortex Form a Tight Frame?
Neural Computation
Learning with generalization capability by kernal methods of bounded complexity
Journal of Complexity
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
International Journal of Computer Vision
Regression with the optimised combination technique
ICML '06 Proceedings of the 23rd international conference on Machine learning
A Neural Model of Perceptual-Motor Alignment
Journal of Cognitive Neuroscience
Frames, Reproducing Kernels, Regularization and Learning
The Journal of Machine Learning Research
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm
Journal of Approximation Theory
Fast computation of RBF coefficients using FFT
Signal Processing - Special section: Distributed source coding
iMLP: Applying Multi-Layer Perceptrons to Interval-Valued Data
Neural Processing Letters
Generalized Robust Conjoint Estimation
Marketing Science
Infinite-σ Limits For Tikhonov Regularization
The Journal of Machine Learning Research
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
The Journal of Machine Learning Research
A Laplacian spectral method for stereo correspondence
Pattern Recognition Letters
Classification with sparse grids using simplicial basis functions
Intelligent Data Analysis
Robustness of radial basis functions
Neurocomputing
Local prediction of non-linear time series using support vector regression
Pattern Recognition
Local prediction of non-linear time series using support vector regression
Pattern Recognition
A multi-objective approach to RBF network learning
Neurocomputing
Temporal gene expression classification with regularised neural network
International Journal of Bioinformatics Research and Applications
A smoothing regularizer for feedforward and recurrent neural networks
Neural Computation
Neural networks for optimal approximation of smooth and analytic functions
Neural Computation
A canonical neural circuit for cortical nonlinear operations
Neural Computation
Kernels, regularization and differential equations
Pattern Recognition
Spectral algorithms for supervised learning
Neural Computation
Geodesic Gaussian kernels for value function approximation
Autonomous Robots
Properties of the Hermite Activation Functions in a Neural Approximation Scheme
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Spectral Correspondence Using the TPS Deformation Model
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Concept for Controlled Self-optimization in Online Learning Neuro-fuzzy Systems
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Kernel least mean square algorithm with constrained growth
Signal Processing
Accuracy of suboptimal solutions to kernel principal component analysis
Computational Optimization and Applications
Generalization Error Estimation for Non-linear Learning Methods
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
AD-SVMs: A light extension of SVMs for multicategory classification
International Journal of Hybrid Intelligent Systems - Data Mining and Hybrid Intelligent Systems
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Ranking model adaptation for domain-specific search
Proceedings of the 18th ACM conference on Information and knowledge management
Learning a function from noisy samples at a finite sparse set of points
Journal of Approximation Theory
A new adaptive merging and growing algorithm for designing artificial neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Consistent Sobolev regression via fuzzy systems with overlapping concepts
Fuzzy Sets and Systems
Learning with generalization capability by kernel methods of bounded complexity
Journal of Complexity
Representation of functional data in neural networks
Neurocomputing
Subset based least squares subspace regression in RKHS
Neurocomputing
On the sparseness of 1-norm support vector machines
Neural Networks
When Is There a Representer Theorem? Vector Versus Matrix Regularizers
The Journal of Machine Learning Research
Predicting palmitoylation sites using a regularised bio-basis function neural network
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
A better selection of patterns in lazy learning radial basis neural networks
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
On a new class of framelet kernels for support vector regression and regularization networks
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Regularized kriging: the support vectors method applied to kriging
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Regularized neighborhood component analysis
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Online training of hierarchical RBF
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
A hierarchical RBF online learning algorithm for real-time 3-D scanner
IEEE Transactions on Neural Networks
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Journal of Biomedical Informatics
Bounds for multistage stochastic programs using supervised learning strategies
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Far-field acoustic source localization and bearing estimation using ΣΔ learners
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Semi-supervised distance metric learning for collaborative image retrieval and clustering
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Learning-based robot vision: principles and applications
Learning-based robot vision: principles and applications
Sparse ensembles using weighted combination methods based on linear programming
Pattern Recognition
Computational Optimization and Applications
Framelet kernels with applications to support vector regression and regularization networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
A min-max optimization framework for designing ΣΔ learners: theory and hardware
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Constructing sparse KFDA using pre-image reconstruction
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Least square regression with lp-coefficient regularization
Neural Computation
Skew-Radial Basis Function Expansions for Empirical Modeling
SIAM Journal on Scientific Computing
Sparse regularization for semi-supervised classification
Pattern Recognition
Optimizing decision making with neural networks in software agents
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Tolerance of radial basis functions against stuck-at-faults
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Wavelet support vector machines and its application for nonlinear system identification
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Kernel networks with fixed and variable widths
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Evolving sum and composite kernel functions for regularization networks
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Evolutionary learning of regularization networks with multi-kernel units
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
A new hybrid ant colony optimization algorithm for feature selection
Expert Systems with Applications: An International Journal
Reversible jump MCMC simulated annealing for neural networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Sparse kernel fisher discriminant analysis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
A node pruning algorithm based on optimal brain surgeon for feedforward neural networks
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Simultaneous Camera Pose and Correspondence Estimation with Motion Coherence
International Journal of Computer Vision
Pareto-optimal noise and approximation properties of RBF networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
ECML'05 Proceedings of the 16th European conference on Machine Learning
Statistical learning approaches with application to face detection
ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics
Kernel based learning methods: regularization networks and RBF networks
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Understanding gaussian process regression using the equivalent kernel
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
The effect of attribute scaling on the performance of support vector machines
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Robustness of radial basis functions
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Nonlinear function learning by the normalized radial basis function networks
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Sum and product kernel regularization networks
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Benchmarking data mining methods in CAT
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Non-sparse multiple kernel fisher discriminant analysis
The Journal of Machine Learning Research
Brief Regularization networks for inverse problems: A state-space approach
Automatica (Journal of IFAC)
Partially linear support vector machines applied to the prediction of mine slope movements
Mathematical and Computer Modelling: An International Journal
Mean square convergence analysis for kernel least mean square algorithm
Signal Processing
Distributed parametric and nonparametric regression with on-line performance bounds computation
Automatica (Journal of IFAC)
Proceedings of the Fifth Balkan Conference in Informatics
Some comparisons of networks with radial and kernel units
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Feature based image registration using non-degenerate pixels
Signal Processing
An alternative approach to avoid overfitting for surrogate models
Proceedings of the Winter Simulation Conference
A novel hybrid neural learning algorithm using simulated annealing and quasisecant method
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Fixed budget quantized kernel least-mean-square algorithm
Signal Processing
Solving the correspondence problem in stereo vision by internal simulation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Regularized vector field learning with sparse approximation for mismatch removal
Pattern Recognition
Joint learning of appearance and transformation for predicting brain MR image registration
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
Kernel minimum error entropy algorithm
Neurocomputing
A comparative study of covariance selection models for the inference of gene regulatory networks
Journal of Biomedical Informatics
A theoretical framework for supervised learning from regions
Neurocomputing
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