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» Arguing from Experience to Classifying Noisy Data
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ICCV
2005
IEEE
14 years 10 months ago
Shape and Appearance Repair for Incomplete Point Surfaces
This paper presents a new surface content completion framework that can restore both shape and appearance from scanned, incomplete point set inputs. First, the geometric holes can...
Seyoun Park, Xiaohu Guo, Hayong Shin, Hong Qin
ATAL
2007
Springer
14 years 3 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
JAIR
2002
95views more  JAIR 2002»
13 years 8 months ago
SMOTE: Synthetic Minority Over-sampling Technique
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally repres...
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hal...
BMCBI
2007
171views more  BMCBI 2007»
13 years 9 months ago
Classification of microarray data using gene networks
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
IAT
2006
IEEE
14 years 2 months ago
A Multi-Agent Approach to Social Human Behaviour in Children's Play
This paper introduces a multi-agent system (MAS) approach for modelling social behaviours in children’s play. The children, the dynamics of their play, and the playground are mo...
Frodi Hammer, Alireza Derakhshan, Yves Demazeau, H...