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UAI
1996
14 years 11 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
P2P
2007
IEEE
113views Communications» more  P2P 2007»
15 years 4 months ago
Handling Network Partitions and Mergers in Structured Overlay Networks
Structured overlay networks form a major class of peerto-peer systems, which are touted for their abilities to scale, tolerate failures, and self-manage. Any long-lived Internet-s...
Tallat M. Shafaat, Ali Ghodsi, Seif Haridi
SIGCOMM
2010
ACM
14 years 10 months ago
An analysis of social network-based Sybil defenses
Recently, there has been much excitement in the research community over using social networks to mitigate multiple identity, or Sybil, attacks. A number of schemes have been propo...
Bimal Viswanath, Ansley Post, P. Krishna Gummadi, ...
TC
2010
14 years 8 months ago
The Design and Evaluation of a Self-Organizing Superpeer Network
—Superpeer architectures exploit the heterogeneity of nodes in a peer-to-peer (P2P) network by assigning additional responsibilities to higher capacity nodes. In the design of a ...
Pawel Garbacki, Dick H. J. Epema, Maarten van Stee...
BMCBI
2011
14 years 1 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...