4544 search results - page 521 / 909 » Reinforcement Learning with Time |
236
Voted
CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
164
Voted
KDD
2009
ACM
16 years 7 months ago
2009
ACM
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
186
Voted
HIS
2004
15 years 8 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
163
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ISCAPDCS
2001
15 years 8 months ago
2001
Admission control strategies play an important role in congestion control and in guaranteeing the quality of service in Asynchronous Transfer Mode (ATM) networks. Three categories...
333
Voted
SIGIR
2012
ACM
13 years 9 months ago
2012
ACM
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...