- Subspace projections an approach to variable selection and modeling Thomas Martini Jrgensen1
- COIL Challenge 2000 Petr Mik'o/oo+x# Ev t Fyrh
- CoIL Challenge 2000 Tasks and Results: Predicting and Explaining
- CoIL Challenge 2000 submission Paul Rickets
- COIL 2000 Challenge: Characteristics of caravan insurance policy owners
- 3.2.5 Prediction One of the more complex tasks, prediction often involves deriving patterns from
- ACT Study report using Classification and Regression Tree (CART)
- The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition
- A Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data
- A Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data
- Phase Intervals and Genetic Algorithms Based Competition Task Solution Serhiy Shtovba
- Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments
- CoIL Challenge 2000 Submitted Solution
- Kxen Coil Challenge2000 -1 / 6 -Kxen at CoIL Challenge 2000
- CoIL Challenge 2000 Submission for the Description Task
- Target selection based on fuzzy clustering: a volume prototype approach to CoIL Challenge 2000
- COIL Challenge 2000 Description Task Chris Leckie and Herman Ferra
- Subspace projections --an approach to variable selection and modeling Thomas Martini Jrgensen 1 and Christian Linneberg 1,2
- CoIL Challenge 2000: Choosing and Explaining Likely Caravan Insurance Customers
- Solution of the CoIL Challenge 2000 Task Using Support Vector Machines
- Kxen Coil Challenge2000 1 / 6 Kxen at CoIL Challenge 2000
- The Backpropagation Multilayer Feedforward Neural Network Based Competition Task Solution
- COIL Challenge 2000 Petr MikRYVN -L t .OHPD
- COIL 2000 Challenge Solution based on ILLMSG Methodology Tomislav Smuc
- 3.2.1 Segmentation, clustering Introduction
- How to detect potential customers Achim Lewandowski
- BENCHMARKING THE AIRS ARTIFICIAL IMMUNE SYSTEM FOR CLASSIFICATION
- Vleugels J.M., Kok J.N., Overmars M.H. , A SelfOrganizing Neural Net work for Robot Motion Planning, proc. ICANN93 Amsterdam, pp. 281
- Coil 2000 Competition The use of a learning classifier system JXCS
- CoIL Challenge 2000 Submission for the Description Task.
- Multi-Level Visual Alphabets Menno Israel1,, Jetske van der Schaar2,,, Egon L. van den Broek3,, Marten den Uyl4 and Peter van der Putten5
- the Topology Preserving Property of SelfOrganizing Maps
- Why the Information Explosion Can Be Bad for Data Mining, and
- 1 Drs P. van der Putten, pvdputten@hotmail.com,
- CoIL Challenge 2000 Tasks and Results: Predicting and Explaining
- Solution based on ILLM confirmation rule Dragan Gamberger
- Submission for the CoiL Challenge 2000 Juha Vesanto and Janne Sinkkonen
- Target selection based on fuzzy clustering: a volume prototype approach to CoIL Challenge 2000
- DTMC: An Actionable e-Customer Lifetime Value Model Based on Markov Chains and Decision Trees
- Data Fusion for Direct Marketing Peter van der Putten
- On Data Mining in Context: Cases, Fusion and Evaluation
- Classification of Yeast Cells from Image Features to Evaluate Pathogen Conditions
- 10. Visual Alphabets: Video Classification by End Users
- A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS)
- Real time automatic scene classification Menno Israela
- Machine Learning, 57, 177195, 2004 c 2004 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Synergy Issue 3, Autumn 2000 1Newsletter of synergyhttp://www.dcs.napier.ac.uk/coil/
- COIL CHALLENGE 2000 ENTRY Charles Elkan
- The CoIL Challenge: an Application of Classification Trees with Bootstrap Aggregation
- Artificial Neural Network Portion of Coil Study
- Solution based on ILLM confirmation rule Dragan Gamberger
- Coil 2000 Challenge Submission: Genetic Algorithms and Hill-climbers
- Submission for the CoiL Challenge 2000 Juha Vesanto and Janne Sinkkonen
- CoIL 2000 Submission Petri Kontkanen
- LOGIT Modelling Jurgen A. Doornik, Nuffield College, Oxford.
- COIL CHALLENGE 2000 Submission Tom McKone and Curt Stenger
- COIL 2000 Challenge Solution based on ILLM-SG Methodology Tomislav Smuc
- A Data Mining Case Study Mark-Andr Krogel
- CoIL Challenge 2000 Submission for the Description Task.
- Automating the Construction of Scene Classifiers for Content-Based Video Retrieval
- Customer Satisfaction and Network Experience in Mobile Telecommunications Dejan Radosavljevik DRADOSAV@LIACS.NL
- Benelearn 2011 Proceedings
- Exploratory Recommendations Using Wikipedia's Linking Structure Adrian M. Kentsch, Walter A. Kosters, Peter van der Putten and Frank W. Takes
