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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
102
Voted
AINA
2004
IEEE
15 years 1 months ago
An Efficient Clustered Architecture for P2P Networks
Peer-to-peer (P2P) computing offers many attractive features, such as self-organization, load-balancing, availability, fault tolerance, and anonymity. However, it also faces some ...
Juan Li, Son T. Vuong
ICML
1998
IEEE
15 years 10 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
BMCBI
2010
102views more  BMCBI 2010»
14 years 9 months ago
SAMPLEX: Automatic mapping of perturbed and unperturbed regions of proteins and complexes
Background: The activity of proteins within the cell is characterized by their motions, flexibility, interactions or even the particularly intriguing case of partially unfolded st...
Mickaël Krzeminski, Karine Loth, Rolf Boelens...
PDP
2010
IEEE
14 years 7 months ago
FTDS: Adjusting Virtual Computing Resources in Threshing Cases
—In the virtual execution environment, dynamic computing resource adjustment technique, configuring the computing resource of virtual machines automatically according to the actu...
Jian Huang, Hai Jin, Kan Hu, Zhiyuan Shao