337 search results - page 7 / 68 » Combination of Multiple Classifiers Using Local Accuracy Est... |
95
Voted
IPSN
2010
Springer
15 years 4 months ago
2010
Springer
Motion capture using wireless inertial measurement units (IMUs) has many advantages over other techniques. Achieving accurate tracking with IMUs presents a processing challenge, e...
89
Voted
IJCAI
2003
14 years 11 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
WOWMOM
2006
ACM
15 years 3 months ago
2006
ACM
In this paper, we build on known bounds on localization in sensor networks and provide new insights that can be used in multiple-access design from a localization perspective. Spe...
75
Voted
PRL
2008
14 years 9 months ago
2008
Pattern classification techniques derived from statistical principles have been widely studied and have proven powerful in addressing practical classification problems. In real-wo...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...