35 search results - page 1 / 7 » Randomizing Outputs to Increase Prediction Accuracy |
ML
2000
ACM
13 years 4 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...
JMLR
2010
12 years 11 months ago
2010
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
NIPS
2007
13 years 6 months ago
2007
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
BMCBI
2010
13 years 4 months ago
2010
Background: An important aspect of protein design is the ability to predict changes in protein thermostability arising from single- or multi-site mutations. Protein thermostabilit...