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» Minimization of Error Functionals over Perceptron Networks
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INTERSPEECH
2010
14 years 4 months ago
Improvements of search error risk minimization in viterbi beam search for speech recognition
This paper describes improvements in a search error risk minimization approach to fast beam search for speech recognition. In our previous work, we proposed this approach to reduc...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
EMNLP
2006
14 years 11 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
NIPS
2003
14 years 11 months ago
Online Learning via Global Feedback for Phrase Recognition
We present a system to recognize phrases based on perceptrons, and a global online learning algorithm to train them together. The recognition strategy applies learning in two laye...
Xavier Carreras, Lluís Màrquez
IOLTS
2008
IEEE
83views Hardware» more  IOLTS 2008»
15 years 4 months ago
On the Minimization of Potential Transient Errors and SER in Logic Circuits Using SPFD
Sets of Pairs of Functions to be Distinguished (SPFD) is a functional flexibility representation method that was recently introduced in the logic synthesis domain, and promises s...
Sobeeh Almukhaizim, Yiorgos Makris, Yu-Shen Yang, ...