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COMPUTER
2002
129views more  COMPUTER 2002»
15 years 2 months ago
Networks on Chips: A New SoC Paradigm
of abstraction and coarse granularity and distributed communication control. Focusing on using probabilistic metrics such as average values or variance to quantify design objective...
Luca Benini, Giovanni De Micheli
130
Voted
ML
2000
ACM
150views Machine Learning» more  ML 2000»
15 years 2 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
134
Voted
ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
15 years 28 days ago
Simulation-based LQR-trees with input and state constraints
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Philipp Reist, Russ Tedrake
TCOM
2010
167views more  TCOM 2010»
15 years 24 days ago
On distributed scheduling in wireless networks exploiting broadcast and network coding
—In this paper, we consider cross-layer optimization in wireless networks with wireless broadcast advantage, focusing on the problem of distributed scheduling of broadcast links....
Tao Cui, Lijun Chen, Tracey Ho
BMCBI
2006
153views more  BMCBI 2006»
15 years 2 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...