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NIPS
2003
15 years 8 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
16 years 3 days ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka
CIKM
1997
Springer
15 years 11 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
AINA
2009
IEEE
16 years 1 months ago
A Range-Only Tracking Algorithm for Wireless Sensor Networks
Over the last few years, target tracking in wireless sensor networks has become a topic of particular interest. This paper presents a tracking system intended for deployment in di...
Evangelos B. Mazomenos, Jeffrey S. Reeve, Neil M. ...
DSN
2009
IEEE
16 years 1 months ago
MAP-AMVA: Approximate mean value analysis of bursty systems
MAP queueing networks are recently proposed models for performance assessment of enterprise systems, such as multi-tier applications, where workloads are significantly affected b...
Giuliano Casale, Evgenia Smirni