Searching for authors named "Michel Verleysen" – sorted by Relevance.
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Feedforward Models
- C2.1 Feedforward models Michel Verleysen Abstract Feedforward unsupervised models cover a wide
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The explanatory power of Artificial Neural Networks
- -16, 1998 The explanatory power of Artificial Neural Networks Michel Verleysen Université catholique de
- Cited by 1 (0 self) – Add To MetaCart
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-0.10-0.20
- Non-linear models and model selection for spectral data Michel Verleysen Université catholique de
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Learning High-Dimensional Data
- , Siena (Italy), 22-24 October 2001, 22 pp. 1. Introduction Learning high-dimensional data Michel
- Cited by 4 (1 self) – Add To MetaCart
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Collaborative filtering with interlaced generalized linear models
- linear models Nicolas Delannay , Michel Verleysen Université catholique de Louvain (UCL), DICE
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The curse of dimensionality in data mining and time series prediction
- The Curse of Dimensionality in Data Mining and Time Series Prediction Michel Verleysen 1
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An optimized RBF network for approximation of functions
- of functions Michel Verleysen l* and Kateina HlavSkova 2 Universit4 Cathollque de LouvaJn, Laboratoire de
- Cited by 3 (1 self) – Add To MetaCart
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Fully Nonparametric Probability Density Function Estimation with Finite Gaussian Mixture Models
- is to build nonparametric PDF estimators, ∗ Michel Verleysen is a Senior Research Associate of the Belgian F
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On the kernel widths in radial-basis function networks, Neural Process
- in the Netherlands. On the Kernel Widths in Radial-Basis Function Networks NABIL BENOUDJIT and MICHEL VERLEYSEN
- Cited by 7 (1 self) – Add To MetaCart
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Lag selection for regression models using high-dimensional mutual information, in
- -Dimensional Mutual Information Geoffroy Simon 1 ∗ 1,2 † and Michel Verleysen 1- Université catholique de Louvain
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