498 search results - page 76 / 100 » An algorithm to solve integer linear systems exactly using n... |
ANSS
1998
IEEE
13 years 12 months ago
1998
IEEE
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
SIAMSC
2008
13 years 7 months ago
2008
Abstract. Hybrid or multiphysics algorithms provide an efficient computational tool for combining micro- and macroscale descriptions of physical phenomena. Their use becomes impera...
JMLR
2010
13 years 2 months ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...