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128
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CONEXT
2008
ACM
15 years 2 months ago
Towards systematic design of enterprise networks
Enterprise networks are important, with size and complexity even surpassing carrier networks. Yet, the design of enterprise networks remains ad-hoc and poorly understood. In this p...
Yu-Wei Eric Sung, Sanjay G. Rao, Geoffrey G. Xie, ...
89
Voted
DCC
2009
IEEE
16 years 1 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
120
Voted
DEBS
2009
ACM
15 years 3 months ago
Event-based systems: opportunities and challenges at exascale
Streaming data models have been shown to be useful in many applications requiring high-performance data exchange. Application-level overlay networks are a natural way to realize t...
Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, Karst...
ICML
2008
IEEE
16 years 1 months ago
Sequence kernels for predicting protein essentiality
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...
Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 4 months ago
Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs
Wire routing in a VLSI chip often requires minimization of wire-length as well as the number of intersections among multiple nets. Such an optimization problem is computationally ...
Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhatt...