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ICML
2007
IEEE
16 years 7 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ICML
2000
IEEE
16 years 7 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
16 years 27 days ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
QSHINE
2005
IEEE
15 years 12 months ago
A Per-Class QoS Service Model in IEEE 802.11e WLANs
Abstract -- In this paper, we study the provision of perclass QoS for IEEE 802.11e Enhanced Distributed Channel Access (EDCA) WLANs. We propose two mechanisms, called BIWF-SP and I...
Jeng Farn Lee, Wanjiun Liao, Meng Chang Chen
EPS
1998
Springer
15 years 10 months ago
Complete Classes of Strategies for the Classical Iterated Prisoner's Dilemma
The Classical Iterated Prisoner's Dilemma (CIPD) is used to study the evolution of cooperation. We show, with a genetic approach, how basic ideas could be used in order to gen...
Bruno Beaufils, Jean-Paul Delahaye, Philippe Mathi...