2190 search results - page 97 / 438 » Learning with the Set Covering Machine |
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich...
ML
2000
ACM
13 years 9 months ago
2000
ACM
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
NIPS
2001
13 years 10 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
AAAI
2011
12 years 9 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...