2204 search results - page 31 / 441 » Agnostic active learning |
69
Voted
COLING
2008
14 years 11 months ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
SARA
2007
Springer
15 years 3 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
73
Voted
AAAI
2008
15 years 10 hour ago
2008
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
COLT
2005
Springer
15 years 3 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
ICALT
2010
IEEE
14 years 10 months ago
2010
IEEE
Multi-user virtual environments (MUVEs) seem to have great potential in education. Current educational uses of MUVEs seem to exploit them more as group interaction platforms and le...