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EWSN
2009
Springer
14 years 8 months ago
MVSink: Incrementally Building In-Network Aggregation Trees
Abstract. In-network data aggregation is widely recognized as an acceptable means to reduce the amount of transmitted data without adversely affecting the quality of the results. T...
Leonardo L. Fernandes, Amy L. Murphy
NIPS
2003
13 years 9 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
ALP
1992
Springer
13 years 11 months ago
Definitional Trees
Rewriting is a computational paradigm that specifies the actions, but not the control. We introduce a hierarchical structure repreat a high level of abstraction, a form of control....
Sergio Antoy
GECCO
2000
Springer
127views Optimization» more  GECCO 2000»
13 years 11 months ago
Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees
We present a new representation for a genetic algorithm to evolve molecular structures representing possible drugs that bind to a given protein target receptor. Our representation...
Gerard Kian-Meng Goh, James A. Foster
CVPR
2010
IEEE
14 years 3 months ago
Globally Optimal Pixel Labeling Algorithms for Tree Metrics
We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis with a very large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...