2245 search results - page 116 / 449 » Metrics that Learn Relevance |
125
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
129
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NIPS
2001
15 years 4 months ago
2001
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
134
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
132
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FLAIRS
2007
15 years 5 months ago
2007
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...
146
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...