323 search results - page 36 / 65 » New Algorithms for Learning in Presence of Errors |
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
IJON
2007
13 years 8 months ago
2007
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...