1845 search results - page 123 / 369 » Machine-Learning Applications of Algorithmic Randomness |
MLMI
2005
Springer
14 years 3 months ago
2005
Springer
In this paper, we present a multimodal discourse ontology that serves as a knowledge representation and annotation framework for the discourse understanding component of an artifi...
CIVR
2003
Springer
14 years 2 months ago
2003
Springer
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
AAAI
2008
14 years 5 hour ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
HIS
2008
13 years 11 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
NIPS
2008
13 years 11 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...