1995 search results - page 123 / 399 » From Data Flow Networks to Process Algebras |
167
click to vote
IFIP12
2008
15 years 6 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
125
click to vote
SIGCOMM
2010
ACM
15 years 4 months ago
2010
ACM
Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. While strategies for lowerin...
161
Voted
ICDE
2009
IEEE
15 years 11 months ago
2009
IEEE
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
120
click to vote
ICDCSW
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meanin...
142
click to vote
IJAR
2010
15 years 3 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...