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TON
2010
126views more  TON 2010»
14 years 9 months ago
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
145
Voted
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 9 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
142
Voted
AGENTS
1998
Springer
15 years 6 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
PE
2008
Springer
167views Optimization» more  PE 2008»
15 years 2 months ago
Analysis of ratings on trust inference in open environments
Ratings (also known as recommendations) provide an efficient and effective way to build trust relationship in the human society, by making use of the information from others rathe...
Zhengqiang Liang, Weisong Shi
ECAI
2004
Springer
15 years 8 months ago
Emergence of Complex Networks through Local Optimization
Abstract. The emergence of complex network structures of relationships between autonomous agents occurs in a wide range of distributed systems. Many researchers have proposed model...
Josep M. Pujol, Andreas Flache, Ramon Sangües...