2780 search results - page 309 / 556 » Learning to Order Things |
120
Voted
HICSS
2003
IEEE
15 years 12 months ago
2003
IEEE
This research explores the causes of dealer demand amplification leading to a high volume of seed returns in a typical agribusiness supply chain. Seed production occurs months in ...
166
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NIPS
2008
15 years 8 months ago
2008
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
202
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SDM
2007
SIAM
15 years 8 months ago
2007
SIAM
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
172
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ACCV
2009
Springer
16 years 1 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
185
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CCIA
2007
Springer
16 years 24 days ago
2007
Springer
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...