Michiel C. van Wezel

发表

DTMC: an actionable e-customer lifetime value model based on markov chains and decision trees

Peter Paauwe, Peter van der Putten, Michiel C. van Wezel, 2007, ICEC.

Online Shopping Using a Two Dimensional Product Map

Patrick J. F. Groenen, Michiel C. van Wezel, Martijn Kagie, 2007, EC-Web.

Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks

Walter A. Kosters, Joost N. Kok, Michiel C. van Wezel, 1998, ICONIP.

Introduction

Sander M. Bohte, Joost N. Kok, Michiel C. van Wezel, 2004, Natural Computing.

Two algorithms for generating structured and unstructured monotone ordinal data sets

Michiel C. van Wezel, Arie Ben-David, Rob Potharst, 2009, Eng. Appl. Artif. Intell..

A Graphical Shopping Interface Based on Product Characteristics

Patrick J. F. Groenen, Michiel C. van Wezel, Martijn Kagie, 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.

Determining the number of dimensions underlying customer-choices with a competitive neural network

Kaisa Sere, Michiel C. van Wezel, Joost N. Kok, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Map Based Visualization of Product Catalogs

Patrick J. F. Groenen, Michiel C. van Wezel, Martijn Kagie, 2011, Recommender Systems Handbook.

Intelligent IS within business: bankruptcy predictions using neural networks

Kaisa Sere, Barbro Back, Michiel C. van Wezel, 1995, ECIS.

Using neural network-based tools for building learning organisations

Michiel C. van Wezel, Walter Baets, Leon Brunenberg, 1998 .

Nonmetric Multidimensional Scaling with Neural Networks

Walter A. Kosters, Joost N. Kok, Peter van der Putten, 2001, IDA.

Nonmetric multidimensional scaling: Neural networks versus traditional techniques

Walter A. Kosters, Michiel C. van Wezel, 2004, Intell. Data Anal..

Hedonic price models and indices based on boosting applied to the Dutch housing market

Michiel C. van Wezel, Martijn Kagie, M. V. Wezel, 2006, Intell. Syst. Account. Finance Manag..

An Assertional Proof of Rana's Algorithm

Gerard Tel, Michiel C. van Wezel, 1994, Inf. Process. Lett..

Including Item Characteristics in the Probabilistic Latent Semantic Analysis Model for Collaborative Filtering

Michiel C. van Wezel, Martijn Kagie, Matthijs van der Loos, 2008, AI Commun..

Two neural network methods for multidimensional scaling

Walter A. Kosters, Joost N. Kok, Michiel C. van Wezel, 1997, ESANN.

Application of reinforcement learning to the game of Othello

Nees Jan van Eck, Michiel C. van Wezel, M. V. Wezel, 2008, Comput. Oper. Res..

A support system for predicting eBay end prices

Michiel C. van Wezel, Rob Potharst, Dennis van Heijst, 2008, Decis. Support Syst..

Feature Selection for Neural Networks through Functional Links Found by Evolutionary Computation

Joost N. Kok, Michiel C. van Wezel, S. Haring, 1997, IDA.

Choosing attribute weights for item dissimilarity using clikstream data with an application to a product catalog map

Patrick J. F. Groenen, Michiel C. van Wezel, Martijn Kagie, 2008, RecSys '08.

A graphical shopping interface based on product attributes

Patrick J. F. Groenen, Michiel C. van Wezel, Martijn Kagie, 2007, Decis. Support Syst..

Improved customer choice predictions using ensemble methods

Michiel C. van Wezel, Rob Potharst, M. V. Wezel, 2005, Eur. J. Oper. Res..

Genetic Improvement of Railway Timetables

Joost N. Kok, Michiel C. van Wezel, J. van den Berg, 1994, PPSN.

Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms

Kaisa Sere, Barbro Back, Michiel C. van Wezel, 1996 .

Predicting market responses with a neural network

Michiel C. van Wezel, Walter Baets, M. V. Wezel, 1995 .