451 search results - page 70 / 91 » Partial Learning Using Link Grammars Data |
INFOCOM
2009
IEEE
14 years 3 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...
TON
2010
13 years 3 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...
KDD
2004
ACM
14 years 8 months 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
14 years 9 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...
AAAI
2011
12 years 8 months 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...