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» Generalized Posynomial Performance Modeling
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119
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GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
15 years 8 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
137
Voted
ICS
2011
Tsinghua U.
14 years 6 months ago
Scalable fine-grained call path tracing
Applications must scale well to make efficient use of even medium-scale parallel systems. Because scaling problems are often difficult to diagnose, there is a critical need for sc...
Nathan R. Tallent, John M. Mellor-Crummey, Michael...
132
Voted
ICCAD
2006
IEEE
165views Hardware» more  ICCAD 2006»
15 years 11 months ago
A fast block structure preserving model order reduction for inverse inductance circuits
Most existing RCL−1 circuit reductions stamp inverse inductance L−1 elements by a second-order nodal analysis (NA). The NA formulation uses nodal voltage variables and describ...
Hao Yu, Yiyu Shi, Lei He, David Smart
142
Voted
SEMCO
2007
IEEE
15 years 9 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 8 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...