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» Evaluating Usefulness for Dynamic Classification
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USITS
2001
13 years 9 months ago
Neptune: Scalable Replication Management and Programming Support for Cluster-based Network Services
Previous research has addressed the scalability and availability issues associated with the construction of cluster-based network services. This paper studies the clustering of re...
Kai Shen, Tao Yang, Lingkun Chu, JoAnne Holliday, ...
UAI
2003
13 years 9 months ago
Decentralized Sensor Fusion with Distributed Particle Filters
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
UAI
1998
13 years 9 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
NIPS
1996
13 years 9 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
WWW
2010
ACM
13 years 8 months ago
Efficient resource allocation and power saving in multi-tiered systems
In this paper, we present Fastrack, a parameter-free algorithm for dynamic resource provisioning that uses simple statistics to promptly distill information about changes in workl...
Andrew Caniff, Lei Lu, Ningfang Mi, Ludmila Cherka...