48 search results - page 7 / 10 » Entropy and Margin Maximization for Structured Output Learni... |
81
Voted
EUROCAST
2003
Springer
15 years 2 months ago
2003
Springer
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
87
Voted
ICAIL
2005
ACM
15 years 3 months ago
2005
ACM
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
ACL
2006
14 years 11 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...
107
click to vote
SDM
2011
SIAM
14 years 9 days ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...