451 search results - page 70 / 91 » Partial Learning Using Link Grammars Data |
95
Voted
INFOCOM
2009
IEEE
15 years 7 months ago
2009
IEEE
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
114
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TON
2010
14 years 7 months ago
2010
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
92
Voted
KDD
2004
ACM
16 years 26 days ago
2004
ACM
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
104
Voted
AAAI
2011
14 years 14 days ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...