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» Evaluating algorithms that learn from data streams
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ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
15 years 9 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
136
Voted
NIPS
2007
15 years 8 months ago
On higher-order perceptron algorithms
A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
Claudio Gentile, Fabio Vitale, Cristian Brotto
140
Voted
NOSSDAV
2004
Springer
15 years 12 months ago
Managing a portfolio of overlay paths
In recent years, several architectures have been proposed and developed for supporting streaming applications that take advantage of multiple paths through the network simultaneou...
Daria Antonova, Arvind Krishnamurthy, Zheng Ma, Ra...
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
16 years 21 days ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas