1277 search results - page 165 / 256 » Terminating Decision Algorithms Optimally |
159
Voted
MCS
2005
Springer
15 years 9 months ago
2005
Springer
We have previously introduced the Learn++ algorithm that provides surprisingly promising performance for incremental learning as well as data fusion applications. In this contribut...
105
Voted
SWAT
1992
Springer
15 years 7 months ago
1992
Springer
Abstract. In a decision tree model, (n log2 n m i=1 ni log2 ni + n) is known to be a lower bound for sorting a multiset of size n containing m distinct elements, where the ith dist...
125
Voted
NIPS
2007
15 years 5 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
149
Voted
INFORMATICALT
2010
14 years 10 months ago
2010
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
DSS
2007
15 years 3 months ago
2007
Abstract. In this paper, the optimization of the Berth Allocation Problem (BAP) is transformed into a multiple stage decision making procedure and a new stochastic beam search algo...