22 search results - page 2 / 5 » Cost-Based Sampling of Individual Instances |
JMLR
2006
13 years 6 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
TCC
2010
Springer
14 years 3 months ago
2010
Springer
Learning is a task that generalizes many of the analyses that are applied to collections of data, and in particular, collections of sensitive individual information. Hence, it is n...
STOC
2007
ACM
14 years 6 months ago
2007
ACM
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...