48 search results - page 3 / 10 » Entropy and Margin Maximization for Structured Output Learni... |
JMLR
2010
14 years 4 months ago
2010
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
IJCAI
2007
14 years 11 months ago
2007
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
NIPS
2004
14 years 11 months ago
2004
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We present a novel approach for structure prediction that addresses the difficulty of obtaining labeled structures for training. We observe that structured output problems often h...
JMLR
2012
12 years 12 months ago
2012
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...