| 2009 |
|---|
| 114 | EE | John Aldo Lee,
Michel Verleysen:
Quality assessment of dimensionality reduction: Rank-based criteria.
Neurocomputing 72(7-9): 1431-1443 (2009) |
| 113 | EE | Victor Onclinx,
Vincent Wertz,
Michel Verleysen:
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity.
Neurocomputing 72(7-9): 1444-1454 (2009) |
| 112 | EE | Pedro J. García-Laencina,
José-Luis Sancho-Gómez,
Aníbal R. Figueiras-Vidal,
Michel Verleysen:
K nearest neighbours with mutual information for simultaneous classification and missing data imputation.
Neurocomputing 72(7-9): 1483-1493 (2009) |
| 2008 |
|---|
| 111 | | Gael de Lannoy,
Arnaud de Decker,
Michel Verleysen:
A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG.
BIOSIGNALS (1) 2008: 140-145 |
| 110 | EE | Emil Eirola,
Elia Liitiäinen,
Amaury Lendasse,
Francesco Corona,
Michel Verleysen:
Using the Delta Test for Variable Selection.
ESANN 2008: 25-30 |
| 109 | EE | Pedro J. García-Laencina,
José-Luis Sancho-Gómez,
Aníbal R. Figueiras-Vidal,
Michel Verleysen:
K-nearest neighbours based on mutual information for incomplete data classification.
ESANN 2008: 37-42 |
| 108 | EE | Victor Onclinx,
Vincent Wertz,
Michel Verleysen:
Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity.
ESANN 2008: 43-48 |
| 107 | EE | John Aldo Lee,
Michel Verleysen:
Rank-based quality assessment of nonlinear dimensionality reduction.
ESANN 2008: 49-54 |
| 106 | EE | Rui Nian,
Guangrong Ji,
Michel Verleysen:
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis.
FSKD (2) 2008: 14-18 |
| 105 | EE | Rui Nian,
Guangrong Ji,
Michel Verleysen:
An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis.
ICIC (2) 2008: 693-700 |
| 104 | EE | Nicolas Delannay,
Cédric Archambeau,
Michel Verleysen:
Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs.
PAKDD 2008: 527-535 |
| 103 | EE | Catherine Krier,
Fabrice Rossi,
Damien François,
Michel Verleysen:
A data-driven functional projection approach for the selection of feature ranges in spectra with ICA or cluster analysis
CoRR abs/0802.0287: (2008) |
| 102 | EE | Cédric Archambeau,
Nicolas Delannay,
Michel Verleysen:
Mixtures of robust probabilistic principal component analyzers.
Neurocomputing 71(7-9): 1274-1282 (2008) |
| 101 | EE | Nicolas Delannay,
Michel Verleysen:
Collaborative filtering with interlaced generalized linear models.
Neurocomputing 71(7-9): 1300-1310 (2008) |
| 100 | EE | John Aldo Lee,
Frédéric Vrins,
Michel Verleysen:
Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition.
Neurocomputing 72(1-3): 47-56 (2008) |
| 2007 |
|---|
| 99 | | Michael Biehl,
Barbara Hammer,
Michel Verleysen,
Thomas Villmann:
Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 |
| 98 | EE | Catherine Krier,
Damien François,
Fabrice Rossi,
Michel Verleysen:
Feature clustering and mutual information for the selection of variables in spectral data.
ESANN 2007: 157-162 |
| 97 | EE | Cédric Archambeau,
Nicolas Delannay,
Michel Verleysen:
Mixtures of robust probabilistic principal component analyzers.
ESANN 2007: 229-234 |
| 96 | EE | Nicolas Delannay,
Michel Verleysen:
Collaborative Filtering with interlaced Generalized Linear Models.
ESANN 2007: 247-252 |
| 95 | EE | Frédéric Vrins,
Dinh-Tuan Pham,
Michel Verleysen:
Is the General Form of Renyi's Entropy a Contrast for Source Separation?
ICA 2007: 129-136 |
| 94 | EE | Vanessa Gómez-Verdejo,
Michel Verleysen,
Jérôme Fleury:
Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.
IWANN 2007: 522-529 |
| 93 | EE | Michael Biehl,
Barbara Hammer,
Michel Verleysen,
Thomas Villmann:
07131 Abstracts Collection -- Similarity-based Clustering and its Application to Medicine and Biology.
Similarity-based Clustering and its Application to Medicine and Biology 2007 |
| 92 | EE | Michael Biehl,
Barbara Hammer,
Michel Verleysen,
Thomas Villmann:
07131 Summary -- Similarity-based Clustering and its Application to Medicine and Biology.
Similarity-based Clustering and its Application to Medicine and Biology 2007 |
| 91 | EE | Fabrice Rossi,
Amaury Lendasse,
Damien François,
Vincent Wertz,
Michel Verleysen:
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
CoRR abs/0709.3427: (2007) |
| 90 | EE | Fabrice Rossi,
Damien François,
Vincent Wertz,
Marc Meurens,
Michel Verleysen:
Fast Selection of Spectral Variables with B-Spline Compression
CoRR abs/0709.3639: (2007) |
| 89 | EE | Damien François,
Fabrice Rossi,
Vincent Wertz,
Michel Verleysen:
Resampling methods for parameter-free and robust feature selection with mutual information
CoRR abs/0709.3640: (2007) |
| 88 | EE | Fabrice Rossi,
Nicolas Delannay,
Brieuc Conan-Guez,
Michel Verleysen:
Representation of Functional Data in Neural Networks
CoRR abs/0709.3641: (2007) |
| 87 | EE | Geoffroy Simon,
Amaury Lendasse,
Marie Cottrell,
Jean-Claude Fort,
Michel Verleysen:
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
CoRR abs/cs/0701052: (2007) |
| 86 | EE | Eric de Bodt,
Marie Cottrell,
Patrick Letrémy,
Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization
CoRR abs/math/0701142: (2007) |
| 85 | EE | Eric de Bodt,
Marie Cottrell,
Michel Verleysen:
Statistical tools to assess the reliability of self-organizing maps
CoRR abs/math/0701144: (2007) |
| 84 | EE | Damien François,
Vincent Wertz,
Michel Verleysen:
The Concentration of Fractional Distances.
IEEE Trans. Knowl. Data Eng. 19(7): 873-886 (2007) |
| 83 | EE | Frédéric Vrins,
Dinh-Tuan Pham,
Michel Verleysen:
Mixing and Non-Mixing Local Minima of the Entropy Contrast for Blind Source Separation.
IEEE Transactions on Information Theory 53(3): 1030-1042 (2007) |
| 82 | EE | Frédéric Vrins,
John Aldo Lee,
Michel Verleysen:
A Minimum-Range Approach to Blind Extraction of Bounded Sources.
IEEE Transactions on Neural Networks 18(3): 809-822 (2007) |
| 81 | EE | Sylvain Lespinats,
Michel Verleysen,
Alain Giron,
Bernard Fertil:
DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data.
IEEE Transactions on Neural Networks 18(5): 1265-1279 (2007) |
| 80 | EE | Cédric Archambeau,
Michel Verleysen:
Robust Bayesian clustering.
Neural Networks 20(1): 129-138 (2007) |
| 79 | EE | Amaury Lendasse,
Erkki Oja,
Olli Simula,
Michel Verleysen:
Time series prediction competition: The CATS benchmark.
Neurocomputing 70(13-15): 2325-2329 (2007) |
| 78 | EE | Geoffroy Simon,
John Aldo Lee,
Marie Cottrell,
Michel Verleysen:
Forecasting the CATS benchmark with the Double Vector Quantization method.
Neurocomputing 70(13-15): 2400-2409 (2007) |
| 77 | EE | Geoffroy Simon,
Michel Verleysen:
High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria.
Neurocomputing 70(7-9): 1265-1275 (2007) |
| 76 | EE | Damien François,
Fabrice Rossi,
Vincent Wertz,
Michel Verleysen:
Resampling methods for parameter-free and robust feature selection with mutual information.
Neurocomputing 70(7-9): 1276-1288 (2007) |
| 2006 |
|---|
| 75 | EE | Amaury Lendasse,
Francesco Corona,
Jin Hao,
Nima Reyhani,
Michel Verleysen:
Determination of the Mahalanobis matrix using nonparametric noise estimations.
ESANN 2006: 227-232 |
| 74 | EE | Damien François,
Vincent Wertz,
Michel Verleysen:
The permutation test for feature selection by mutual information.
ESANN 2006: 239-244 |
| 73 | EE | John Aldo Lee,
Frédéric Vrins,
Michel Verleysen:
Non-orthogonal Support Width ICA.
ESANN 2006: 351-358 |
| 72 | EE | Geoffroy Simon,
Michel Verleysen:
Lag selection for regression models using high-dimensional mutual information.
ESANN 2006: 395-400 |
| 71 | EE | Frédéric Vrins,
Michel Verleysen:
Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation.
ICA 2006: 262-269 |
| 70 | EE | Frédéric Vrins,
Michel Verleysen:
Minimum Support ICA Using Order Statistics. Part II: Performance Analysis.
ICA 2006: 270-277 |
| 69 | EE | Frédéric Vrins,
Deniz Erdogmus,
Christian Jutten,
Michel Verleysen:
Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS).
ICA 2006: 747-754 |
| 68 | EE | Fabrice Rossi,
Damien François,
Vincent Wertz,
Michel Verleysen:
A Functional Approach to Variable Selection in Spectrometric Problems.
ICANN (1) 2006: 11-20 |
| 67 | EE | Luis Javier Herrera,
Héctor Pomares,
Ignacio Rojas,
Michel Verleysen,
Alberto Guillén:
Effective Input Variable Selection for Function Approximation.
ICANN (1) 2006: 41-50 |
| 66 | EE | Cédric Archambeau,
Nicolas Delannay,
Michel Verleysen:
Robust probabilistic projections.
ICML 2006: 33-40 |
| 65 | EE | Nicolas Delannay,
Cédric Archambeau,
Michel Verleysen:
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor.
ICPR (2) 2006: 552-535 |
| 64 | EE | Cédric Archambeau,
M. Valle,
A. Assenza,
Michel Verleysen:
Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures.
ISCAS 2006 |
| 63 | EE | Marie Cottrell,
Michel Verleysen:
Advances in Self Organising Maps
CoRR abs/cs/0611058: (2006) |
| 62 | EE | Frédéric Vrins,
Dinh-Tuan Pham,
Michel Verleysen:
Mixing and non-mixing local minima of the entropy contrast for blind source separation
CoRR abs/cs/0611106: (2006) |
| 61 | EE | Marie Cottrell,
Michel Verleysen:
Advances in Self-Organizing Maps.
Neural Networks 19(6-7): 721-722 (2006) |
| 60 | EE | Geoffroy Simon,
John Aldo Lee,
Michel Verleysen:
Unfolding preprocessing for meaningful time series clustering.
Neural Networks 19(6-7): 877-888 (2006) |
| 2005 |
|---|
| 59 | EE | Luh Yen,
Denis Vanvyve,
Fabien Wouters,
François Fouss,
Michel Verleysen,
Marco Saerens:
clustering using a random walk based distance measure.
ESANN 2005: 317-324 |
| 58 | EE | Damien François,
Vincent Wertz,
Michel Verleysen:
Non-Euclidean metrics for similarity search in noisy datasets.
ESANN 2005: 339-344 |
| 57 | EE | Antti Sorjamaa,
Amaury Lendasse,
Michel Verleysen:
Pruned lazy learning models for time series prediction.
ESANN 2005: 509-514 |
| 56 | EE | Cédric Archambeau,
Michel Verleysen:
Manifold Constrained Variational Mixtures.
ICANN (2) 2005: 279-284 |
| 55 | EE | Amaury Lendasse,
Yongnan Ji,
Nima Reyhani,
Michel Verleysen:
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.
ICANN (2) 2005: 625-630 |
| 54 | EE | Frédéric Vrins,
John Aldo Lee,
Michel Verleysen:
Filtering-Free Blind Separation of Correlated Images.
IWANN 2005: 1091-1099 |
| 53 | EE | Michel Verleysen,
Damien François:
The Curse of Dimensionality in Data Mining and Time Series Prediction.
IWANN 2005: 758-770 |
| 52 | EE | Cédric Archambeau,
Michel Verleysen:
Manifold Constrained Finite Gaussian Mixtures.
IWANN 2005: 820-828 |
| 51 | EE | Amaury Lendasse,
Damien François,
Vincent Wertz,
Michel Verleysen:
Vector quantization: a weighted version for time-series forecasting.
Future Generation Comp. Syst. 21(7): 1056-1067 (2005) |
| 50 | EE | Amaury Lendasse,
Geoffroy Simon,
Vincent Wertz,
Michel Verleysen:
Fast bootstrap methodology for regression model selection.
Neurocomputing 64: 161-181 (2005) |
| 49 | EE | Fabrice Rossi,
Nicolas Delannay,
Brieuc Conan-Guez,
Michel Verleysen:
Representation of functional data in neural networks.
Neurocomputing 64: 183-210 (2005) |
| 48 | EE | John Aldo Lee,
Michel Verleysen:
Nonlinear dimensionality reduction of data manifolds with essential loops.
Neurocomputing 67: 29-53 (2005) |
| 47 | EE | Geoffroy Simon,
Amaury Lendasse,
Marie Cottrell,
Jean-Claude Fort,
Michel Verleysen:
Time series forecasting: Obtaining long term trends with self-organizing maps.
Pattern Recognition Letters 26(12): 1795-1808 (2005) |
| 46 | EE | Frédéric Vrins,
Michel Verleysen:
On the entropy minimization of a linear mixture of variables for source separation.
Signal Processing 85(5): 1029-1044 (2005) |
| 2004 |
|---|
| 45 | EE | Frédéric Vrins,
Cédric Archambeau,
Michel Verleysen:
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
ESANN 2004: 211-216 |
| 44 | EE | John Aldo Lee,
Michel Verleysen:
How to project `circular' manifolds using geodesic distances?
ESANN 2004: 223-230 |
| 43 | EE | Nicolas Delannay,
Fabrice Rossi,
Brieuc Conan-Guez,
Michel Verleysen:
Functional radial basis function networks.
ESANN 2004: 313-318 |
| 42 | EE | Amaury Lendasse,
Geoffroy Simon,
Vincent Wertz,
Michel Verleysen:
Fast bootstrap for least-square support vector machines.
ESANN 2004: 525-530 |
| 41 | EE | Cédric Archambeau,
Frédéric Vrins,
Michel Verleysen:
Flexible and Robust Bayesian Classification by Finite Mixture Models.
ESANN 2004: 75-80 |
| 40 | EE | Frédéric Vrins,
Christian Jutten,
Michel Verleysen:
Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis.
ICA 2004: 1017-1014 |
| 39 | EE | John Aldo Lee,
Christian Jutten,
Michel Verleysen:
Non-linear ICA by Using Isometric Dimensionality Reduction.
ICA 2004: 710-717 |
| 38 | EE | Cédric Archambeau,
Torsten Butz,
Vlad Popovici,
Michel Verleysen,
Jean-Philippe Thiran:
Supervised Nonparametric Information Theoretic Classification.
ICPR (3) 2004: 414-417 |
| 37 | EE | Cédric Archambeau,
Jean Delbeke,
Claude Veraart,
Michel Verleysen:
Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind.
Artificial Intelligence in Medicine 32(3): 183-194 (2004) |
| 36 | EE | Geoffroy Simon,
Amaury Lendasse,
Marie Cottrell,
Jean-Claude Fort,
Michel Verleysen:
Double quantization of the regressor space for long-term time series prediction: method and proof of stability.
Neural Networks 17(8-9): 1169-1181 (2004) |
| 35 | EE | Eric de Bodt,
Marie Cottrell,
Patrick Letrémy,
Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization.
Neurocomputing 56: 187-203 (2004) |
| 34 | EE | John Aldo Lee,
Amaury Lendasse,
Michel Verleysen:
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis.
Neurocomputing 57: 49-76 (2004) |
| 2003 |
|---|
| 33 | EE | Geoffroy Simon,
Amaury Lendasse,
Vincent Wertz,
Michel Verleysen:
Fast approximation of the bootstrap for model selection.
ESANN 2003: 475-480 |
| 32 | EE | John Aldo Lee,
Cédric Archambeau,
Michel Verleysen:
Locally Linear Embedding versus Isotop.
ESANN 2003: 527-534 |
| 31 | EE | Cédric Archambeau,
John Aldo Lee,
Michel Verleysen:
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures.
ESANN 2003: 99-106 |
| 30 | EE | Amaury Lendasse,
Vincent Wertz,
Michel Verleysen:
Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models.
ICANN 2003: 573-580 |
| 29 | EE | Geoffroy Simon,
Amaury Lendasse,
Michel Verleysen:
Bootstrap for Model Selection: Linear Approximation of the Optimism.
IWANN (1) 2003: 182-189 |
| 28 | EE | Michel Verleysen,
Damien François,
Geoffroy Simon,
Vincent Wertz:
On the Effects of Dimensionality on Data Analysis with Neural Networks.
IWANN (2) 2003: 105-112 |
| 27 | EE | Amaury Lendasse,
Damien François,
Vincent Wertz,
Michel Verleysen:
Nonlinear Time Series Prediction by Weighted Vector Quantization.
International Conference on Computational Science 2003: 417-426 |
| 26 | | Nabil Benoudjit,
Michel Verleysen:
On the Kernel Widths in Radial-Basis Function Networks.
Neural Processing Letters 18(2): 139-154 (2003) |
| 2002 |
|---|
| 25 | | Michel Verleysen:
ESANN 2002, 10th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 24-26, 2002, Proceedings
ESANN 2002 |
| 24 | | John Aldo Lee,
Amaury Lendasse,
Michel Verleysen:
Curvilinear Distance Analysis versus Isomap.
ESANN 2002: 185-192 |
| 23 | | Nabil Benoudjit,
Cédric Archambeau,
Amaury Lendasse,
John Aldo Lee,
Michel Verleysen:
Width optimization of the Gaussian kernels in Radial Basis Function Networks.
ESANN 2002: 425-432 |
| 22 | EE | John Aldo Lee,
Michel Verleysen:
Nonlinear Projection with the Isotop Method.
ICANN 2002: 933-938 |
| 21 | EE | Eric de Bodt,
Marie Cottrell,
Michel Verleysen:
Statistical tools to assess the reliability of self-organizing maps.
Neural Networks 15(8-9): 967-978 (2002) |
| 20 | EE | John Aldo Lee,
Michel Verleysen:
Self-organizing maps with recursive neighborhood adaptation.
Neural Networks 15(8-9): 993-1003 (2002) |
| 19 | EE | Michel Verleysen,
Joos Vandewalle:
Special issue on fundamental and information processing aspects of neurocomputing.
Neurocomputing 48(1-4): 1-2 (2002) |
| 18 | EE | Amaury Lendasse,
John Aldo Lee,
Vincent Wertz,
Michel Verleysen:
Forecasting electricity consumption using nonlinear projection and self-organizing maps.
Neurocomputing 48(1-4): 299-311 (2002) |
| 2001 |
|---|
| 17 | EE | Amaury Lendasse,
John Aldo Lee,
Eric de Bodt,
Vincent Wertz,
Michel Verleysen:
Input data reduction for the prediction of financial time series.
ESANN 2001: 237-244 |
| 16 | EE | C. Dualibe,
Paul G. A. Jespers,
Michel Verleysen:
Embedded fuzzy control for automatic channel equalization after digital transmissions.
ISCAS (3) 2001: 173-176 |
| 2000 |
|---|
| 15 | EE | John Aldo Lee,
Amaury Lendasse,
Nicolas Donckers,
Michel Verleysen:
A robust non-linear projection method.
ESANN 2000: 13-20 |
| 14 | EE | Amaury Lendasse,
John Aldo Lee,
Vincent Wertz,
Michel Verleysen:
Time series forecasting using CCA and Kohonen maps - application to electricity consumption.
ESANN 2000: 329-334 |
| 1999 |
|---|
| 13 | EE | Eric de Bodt,
Marie Cottrell,
Michel Verleysen:
Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm.
ESANN 1999: 19-26 |
| 12 | EE | Nicolas Donckers,
Amaury Lendasse,
Vincent Wertz,
Michel Verleysen:
Extraction of intrinsic dimension using CCA - Application to blind sources separation.
ESANN 1999: 339-344 |
| 11 | | Michel Verleysen,
Eric de Bodt,
Amaury Lendasse:
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection.
IWANN (2) 1999: 596-605 |
| 1998 |
|---|
| 10 | EE | Amaury Lendasse,
Michel Verleysen,
Eric de Bodt,
Marie Cottrell,
Philippe Grégoire:
Forecasting time-series by Kohonen classification.
ESANN 1998: 221-226 |
| 9 | EE | C. Amerijckx,
Michel Verleysen,
Philippe Thissen,
Jean-Didier Legat:
Image compression by self-organized Kohonen map.
IEEE Transactions on Neural Networks 9(3): 503-507 (1998) |
| 1997 |
|---|
| 8 | | Michel Verleysen:
ESANN 1997, 5th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 16-18, 1997, Proceedings
D-Facto public 1997 |
| 7 | | Eric de Bodt,
Michel Verleysen,
Marie Cottrell:
Kohonen maps versus vector quantization for data analysis.
ESANN 1997 |
| 6 | EE | Katerina Hlavácková-Schindler,
Michel Verleysen:
Placing spline knots in neural networks using splines as activation functions.
Neurocomputing 17(3-4): 159-166 (1997) |
| 1995 |
|---|
| 5 | | Jean-Luc Voz,
Michel Verleysen,
Philippe Thissen,
Jean-Didier Legat:
A Practical View of Suboptimal Bayesian Classification with Radial Gaussian Kernels.
IWANN 1995: 404-411 |
| 4 | | Philippe Thissen,
Michel Verleysen,
Jean-Didier Legat,
Jordi Madrenas,
Jordi Domínguez:
A VLSI System for Neural Bayesian and LVQ Classification.
IWANN 1995: 696-703 |
| 3 | | Philippe Thissen,
Michel Verleysen,
Jean-Didier Legat:
An Associative Processor Dedicated to Classification by Neural Methods.
IWANN 1995: 704-711 |
| 1993 |
|---|
| 2 | | Michel Verleysen,
Philippe Thissen,
Jean-Didier Legat:
Linear Vector Classification: An Improvement on LVQ Algorithms to Create Classes of Patterns.
IWANN 1993: 340-345 |
| 1991 |
|---|
| 1 | | Michel Verleysen,
Paul G. A. Jespers:
Analog VLSI Synapse Matrix with Enhanced Stochastic Computations.
IWANN 1991: 315-321 |
