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» Optimizing Complex Loss Functions in Structured Prediction
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71
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FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
15 years 1 months ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
70
Voted
WSC
1998
14 years 11 months ago
Modeling Cardiac Ion Channel Conductivity: Model Fitting via Simulation
We describe a Markov state model for a cloned potassium channel of the human heart ( 1KvLQTI ). The parameters of the model are determined by a least-squares fit of predicted vs. ...
John L. Maryak, Richard H. Smith, Raimond L. Winsl...
DATE
2000
IEEE
130views Hardware» more  DATE 2000»
15 years 2 months ago
Optimal Hardware Pattern Generation for Functional BIST
∗∗ Functional BIST is a promising solution for self-testing complex digital systems at reduced costs in terms of area and performance degradation. The present paper addresses t...
Silvia Cataldo, Silvia Chiusano, Paolo Prinetto, H...
CODES
2007
IEEE
15 years 1 months ago
Influence of procedure cloning on WCET prediction
For the worst-case execution time (WCET) analysis, especially loops are an inherent source of unpredictability and loss of precision. This is caused by the difficulty to obtain sa...
Paul Lokuciejewski, Heiko Falk, Martin Schwarzer, ...
62
Voted
ACL
2010
14 years 7 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein