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ECML
2005
Springer
15 years 8 months ago
Model Selection in Omnivariate Decision Trees
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
Olcay Taner Yildiz, Ethem Alpaydin
HAPTICS
2009
IEEE
15 years 6 months ago
Computationally efficient techniques for data-driven haptic rendering
Data-driven haptic rendering requires processing of raw recorded signals, which leads to high computational effort for large datasets. To achieve real-time performance, one possib...
Raphael Höver, Massimiliano Di Luca, Gá...
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 6 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
VMV
2007
122views Visualization» more  VMV 2007»
15 years 4 months ago
An iterative framework for registration with reconstruction
The core of most registration algorithms aligns scan data by pairs, minimizing their relative distance. This local optimization must generally pass through a validation procedure t...
Thales Vieira, Adelailson Peixoto, Luiz Velho, Tho...
TNN
1998
76views more  TNN 1998»
15 years 2 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett