498 search results - page 66 / 100 » Learning structured prediction models: a large margin approa... |
80
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SIGCOMM
2006
ACM
15 years 3 months ago
2006
ACM
An understanding of the topological structure of the Internet is needed for quite a number of networking tasks, e.g., making decisions about peering relationships, choice of upstr...
115
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SIGIR
2000
ACM
15 years 2 months ago
2000
ACM
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Predicting items a user would like on the basis of other users' ratings for these items has become a well-established strategy adopted by many recommendation services on the ...
AAAI
2010
14 years 11 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...