2980 search results - page 20 / 596 » Learning better together |
SODA
2001
ACM
14 years 11 months ago
2001
ACM
Bin covering takes as input a list of items with sizes in (0 1) and places them into bins of unit demand so as to maximize the number of bins whose demand is satis ed. This is in ...
NAACL
2003
14 years 11 months ago
2003
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
IDA
2007
Springer
14 years 10 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
CSCW
2012
ACM
13 years 5 months ago
2012
ACM
Micro-task platforms provide massively parallel, ondemand labor. However, it can be difficult to reliably achieve high-quality work because online workers may behave irresponsibly...
124
click to vote
AI
2002
Springer
14 years 10 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...