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» Techniques for Optimization of Net Algorithms
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CEAS
2006
Springer
15 years 10 months ago
Learning at Low False Positive Rates
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
Wen-tau Yih, Joshua Goodman, Geoff Hulten
FPL
2000
Springer
116views Hardware» more  FPL 2000»
15 years 10 months ago
FPGA Implementation of a Prototype WDM On-Line Scheduler
Message sequencing and channel assignment are two important aspects to consider in optimizing the performance of Wavelength Division Multiplexing (WDM) networks. A scheduling techn...
Winnie W. Cheng, Steven J. E. Wilton, Babak Hamidz...
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
15 years 1 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
197
Voted
SODA
2008
ACM
101views Algorithms» more  SODA 2008»
15 years 8 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
ICASSP
2008
IEEE
16 years 1 months ago
Blind channel estimation in DS-CDMA systems with unknown wide-sense stationary noise using generalized correlation decomposition
A novel blind subspace-based channel estimation technique is developed for direct-sequence code division multiple-access (DS-CDMA) systems operating in unknown wide-sense stationa...
Keyvan Zarifi, Alex B. Gershman