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» Ensembles of Nearest Neighbor Forecasts
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RSFDGRC
2005
Springer
117views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Dependency Bagging
In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sam...
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Z...
ICIC
2009
Springer
14 years 2 months ago
Solar Radiation Forecasting Using Ad-Hoc Time Series Preprocessing and Neural Networks
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
Christophe Paoli, Cyril Voyant, Marc Muselli, Mari...
NIPS
2003
13 years 9 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
IJDAR
2010
164views more  IJDAR 2010»
13 years 5 months ago
Distance-based classification of handwritten symbols
We study online classification of isolated handwritten symbols using distance measures on spaces of curves. We compare three distance-based measures on a vector space representatio...
Oleg Golubitsky, Stephen M. Watt
CVPR
2005
IEEE
14 years 10 months ago
Random Subspaces and Subsampling for 2-D Face Recognition
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
Nitesh V. Chawla, Kevin W. Bowyer