6715 search results - page 39 / 1343 » Learning from a Test Set |
NIPS
1997
13 years 9 months ago
1997
In many applications, such as credit default prediction and medical image recognition, test inputs are available in addition to the labeled training examples. We propose a method ...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
ACML
2009
Springer
14 years 1 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...