3694 search results - page 334 / 739 » Stochastic complexity in learning |
223
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
243
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SIGIR
2012
ACM
13 years 9 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
169
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JFR
2006
15 years 6 months ago
2006
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
179
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AAMAS
2005
Springer
15 years 6 months ago
2005
Springer
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
193
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CN
2008
15 years 6 months ago
2008
During the last decade, the study of large scale complex networks has attracted a substantial amount of attention and works from several domains: sociology, biology, computer scie...