2252 search results - page 221 / 451 » A distributed machine learning framework |
PODC
2010
ACM
15 years 3 months ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
109
click to vote
GECCO
2008
Springer
15 years 2 months ago
2008
Springer
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
114
click to vote
ENTCS
2008
15 years 1 months ago
2008
Verification of multi-threaded C++ programs poses three major challenges: the large number of states, states with huge sizes, and time intensive expansions of states. This paper p...
146
click to vote
INFOCOM
2010
IEEE
14 years 11 months ago
2010
IEEE
—In this paper we consider the problem of maximizing wireless network capacity (a.k.a. one-shot scheduling) in both the protocol and physical models. We give the first distribut...
125
click to vote
ESANN
2000
15 years 2 months ago
2000
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...