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BMCBI
2011
14 years 9 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
IWANN
1999
Springer
15 years 10 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
TON
2010
151views more  TON 2010»
15 years 20 days ago
Measurement-Driven Guidelines for 802.11 WLAN Design
Dense deployments of WLANs suffer from increased interference and as a result, reduced capacity. There are three main functions used to improve the overall network capacity: a) in...
Ioannis Broustis, Konstantina Papagiannaki, Srikan...
JCB
2007
136views more  JCB 2007»
15 years 5 months ago
A Structure-Based Flexible Search Method for Motifs in RNA
The discovery of non-coding RNA (ncRNA) motifs and their role in regulating gene expression has recently attracted considerable attention. The goal is to discover these motifs in ...
Isana Veksler-Lublinsky, Michal Ziv-Ukelson, Danny...
ARCS
2004
Springer
15 years 11 months ago
Latent Semantic Indexing in Peer-to-Peer Networks
Searching in decentralized peer-to-peer networks is a challenging problem. In common applications such as Gnutella, searching is performed by randomly forwarding queries to all pee...
Xuezheng Liu, Ming Chen, Guangwen Yang