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» Switching Graphs and Their Complexity
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STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 10 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
BROADNETS
2006
IEEE
15 years 9 months ago
On Traffic Grooming Choices for IP over WDM networks
Traffic grooming continues to be a rich area of research in the context of WDM optical networks. We provide an overview of the optical and electronic grooming techniques available...
Srivatsan Balasubramanian, Arun K. Somani
LISA
2008
15 years 8 months ago
ENAVis: Enterprise Network Activities Visualization
Abstract-- With the prevalence of multi-user environments, it has become an increasingly challenging task to precisely identify who is doing what on an enterprise network. Current ...
Qi Liao, Andrew Blaich, Aaron Striegel, Douglas Th...
CSREAESA
2004
15 years 7 months ago
An Energy-Aware Synthesis Methodology for OS-Driven Multi-Process Embedded Software
The growing software content in various battery-driven embedded systems has led to significant interest in technologies for energy-efficient embedded software. While lowenergy sof...
Tat Kee Tan, Anand Raghunathan, Niraj K. Jha