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» Minimization of Error Functionals over Perceptron Networks
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IJCNN
2007
IEEE
15 years 4 months ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan
93
Voted
ACL
2006
14 years 11 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
ICPP
2009
IEEE
15 years 4 months ago
SkipStream: A Clustered Skip Graph Based On-demand Streaming Scheme over Ubiquitous Environments
Providing continuous on-demand streaming services with VCR functionality over ubiquitous environments is challenging due to the stringent QoS requirements of streaming service as ...
Qifeng Yu, Tianyin Xu, Baoliu Ye, Sanglu Lu, Daoxu...
72
Voted
CSL
2008
Springer
14 years 9 months ago
Tone-enhanced generalized character posterior probability (GCPP) for Cantonese LVCSR
Tone-enhanced, generalized character posterior probability (GCPP), a generalized form of posterior probability at subword (Chinese character) level, is proposed as a rescoring met...
Yao Qian, Frank K. Soong, Tan Lee
ESANN
1997
14 years 11 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...