375 search results - page 14 / 75 » Making Abstract Machines Less Abstract |
74
Voted
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— Automation of transportation systems and promotion of the operations are becoming an international demand on seaport container terminals. For this issue, we propose an ...
ECML
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
PPOPP
1993
ACM
15 years 2 months ago
1993
ACM
A vast body of theoretical research has focused either on overly simplistic models of parallel computation, notably the PRAM, or overly specific models that have few representati...
EUROSYS
2010
ACM
15 years 7 months ago
2010
ACM
Modern Byzantine fault-tolerant state machine replication (BFT) protocols involve about 20.000 lines of challenging C++ code encompassing synchronization, networking and cryptogra...
COLT
2010
Springer
14 years 8 months ago
2010
Springer
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...