1127 search results - page 195 / 226 » New Algorithms for Generalized Network Flows |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
CISS
2008
IEEE
15 years 4 months ago
2008
IEEE
—In this paper, we study the problem of utility maximization in Peer-to-Peer (P2P) systems, in which aggregate utilities are maximized by running distributed algorithms on P2P no...
CIKM
2011
Springer
13 years 10 months ago
2011
Springer
Today, a number of algorithms exist for constructing tag hierarchies from social tagging data. While these algorithms were designed with ontological goals in mind, we know very li...
SSDBM
2008
IEEE
15 years 4 months ago
2008
IEEE
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...