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ML
1998
ACM
102views Machine Learning» more  ML 1998»
15 years 4 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
IJCNN
2008
IEEE
15 years 11 months ago
Including multi-objective abilities in the Hybrid Intelligent Suite for decision support
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...
Diogo Ferreira Pacheco, Flávio R. S. Olivei...
VISUALIZATION
1992
IEEE
15 years 8 months ago
Display of Scientific Data Structures for Algorithm Visualization
algorithms as networks of modules. The data flow architecture is popular because of the flexibility of mixing calculation modules with display modules, and because of its easy grap...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
INFOCOM
2010
IEEE
15 years 3 months ago
Coupled 802.11 Flows in Urban Channels: Model and Experimental Evaluation
Abstract—Contending flows in multi-hop 802.11 wireless networks compete with two fundamental asymmetries: (i) channel asymmetry, in which one flow has a stronger signal, potent...
Joseph Camp, Ehsan Aryafar, Edward W. Knightly
NIPS
2008
15 years 6 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink