2750 search results - page 174 / 550 » The complexity of learning SUBSEQ(A) |
206
click to vote
BMCBI
2008
15 years 7 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
231
click to vote
JCSS
2008
15 years 6 months ago
2008
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
232
click to vote
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 ...
252
click to vote
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...
176
click to vote
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...