72 search results - page 8 / 15 » Generalizing Apprenticeship Learning across Hypothesis Class... |
BMVC
2010
13 years 4 months ago
2010
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
ECAI
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
ML
2002
ACM
13 years 7 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
ALT
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...