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NIPS
2003
15 years 6 months ago
Measure Based Regularization
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...
Olivier Bousquet, Olivier Chapelle, Matthias Hein
ERLANG
2004
ACM
15 years 10 months ago
On modelling agent systems with Erlang
Multi-agent systems are a kind of concurrent distributed systems. In this work, some guidelines on how to create multi-agent systems using Erlang are presented. The modelled syste...
Carlos Varela, Carlos Abalde, Laura M. Castro, Jos...
HPDC
1998
IEEE
15 years 9 months ago
Application Experiences with the Globus Toolkit
The development of applications and tools for highperformance "computational grids" is complicated by the heterogeneity and frequently dynamic behavior of the underlying...
Sharon Brunett, Karl Czajkowski, Steven Fitzgerald...
HPDC
1996
IEEE
15 years 9 months ago
Mobile Processing in Open Systems
A universal spatial automaton, called WAVE, for highly parallel processing in arbitrary distributed systems is described. The automaton is based on a virus principle where recursi...
Peter Sapaty
WDAG
2005
Springer
90views Algorithms» more  WDAG 2005»
15 years 10 months ago
Proving Atomicity: An Assertional Approach
Atomicity (or linearizability) is a commonly used consistency criterion for distributed services and objects. Although atomic object implementations are abundant, proving that algo...
Gregory Chockler, Nancy A. Lynch, Sayan Mitra, Jos...