176 search results - page 1 / 36 » Optimal Sample Selection for Batch-mode Reinforcement Learni... |
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
NIPS
2007
13 years 6 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
WWW
2006
ACM
14 years 5 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
ICAART
2011
INSTICC
12 years 8 months ago
2011
INSTICC
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...