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» Some Notes on Applied Mathematics for Machine Learning
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ECML
2006
Springer
13 years 11 months ago
Cost-Sensitive Decision Tree Learning for Forensic Classification
Abstract. In some learning settings, the cost of acquiring features for classification must be paid up front, before the classifier is evaluated. In this paper, we introduce the fo...
Jason V. Davis, Jungwoo Ha, Christopher J. Rossbac...
ECTEL
2006
Springer
13 years 11 months ago
An Example of Participatory Design Methodology in a Project which Aims at Developing Individual and Organisational Learning in C
The experience described in this paper is being developed in the framework of the PALETTE1 project by two teams of researchers involved in collecting information from some Communi...
Amaury Daele, Martin Erpicum, Liliane Esnault, Fab...
ACISICIS
2009
IEEE
13 years 11 months ago
A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning
A PCNNs-based square-and-triangle-template method for binary fingerprint image thinning is proposed. The algorithm is iterative, in which a combined sequential and parallel proces...
Dacheng Xu, Bailiang Li, Anton Nijholt
ICTAC
2004
Springer
14 years 27 days ago
Replicative - Distribution Rules in P Systems with Active Membranes
Abstract. P systems (known also as membrane systems) are biologically motivated theoretical models of distributed and parallel computing. The two most interesting questions in the ...
Tseren-Onolt Ishdorj, Mihai Ionescu
ICML
2000
IEEE
14 years 8 months ago
Complete Cross-Validation for Nearest Neighbor Classifiers
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
Matthew D. Mullin, Rahul Sukthankar