minimum error
Efficient Minimum Error Rate Training and Minimum Bayes Risk Decoding for Translation Hypergraphs and Lattices
... the error criterion in both training and ...the error criterion are Minimum Error Rate Train- ing (MERT) (Och, 2003) and Minimum Bayes- Risk (MBR) decoding (Kumar and Byrne, ...
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A Minimum Error Weighting Combination Strategy for Chinese Semantic Role Labeling
... In this paper, we propose a minimum error weighting strategy for SRL combination and in- vestigate the benefit that Chinese SRL can get from combination. We assign different weights to different system ...
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Minimum Error Rate Training by Sampling the Translation Lattice
... Minimum Error Rate Training is the algo- rithm for log-linear model parameter train- ing most used in state-of-the-art Statistical Machine Translation ...
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Lattice based Minimum Error Rate Training for Statistical Machine Translation
... Minimum Error Rate Training (MERT) is an effective means to estimate the feature func- tion weights of a linear model such that an automated evaluation criterion for measuring system performance can ...
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Learning Theory Approach to Minimum Error Entropy Criterion
... the minimum error entropy (MEE) criterion and an empirical risk minimization learn- ing algorithm when an approximation of R´enyi’s entropy (of order 2) by Parzen windowing is ...eralization error ...
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Optimal Search for Minimum Error Rate Training
... Minimum error rate training is a crucial compo- nent to many state-of-the-art NLP applications, such as machine translation and speech recog- ...word error rate are generally highly non-convex and ...
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Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
... introduced minimum error rate train- ing (MERT) for optimizing feature weights in sta- tistical machine translation (SMT) models, and demonstrated that it produced higher translation quality scores than ...
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The Minimum Error Minimax Probability Machine
... We construct a distribution-free Bayes optimal classifier called the Minimum Error Minimax Proba- bility Machine (MEMPM) in a worst-case setting, i.e., under all possible choices of class-conditional ...
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Transductive Minimum Error Rate Training for Statistical Machine Translation
... with Minimum Error Rate Training(MERT), we extend it under a transductive learning framework, by iteratively re-estimating the parame- ters using both development and test da- ta, in which the translation ...
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Feasibility of Human in the loop Minimum Error Rate Training
... The strategy of using judgments across candi- dates reduces the amount of labels we need to col- lect, but evaluating a candidate translation for the source sentence of Figure 2 would st[r] ...
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Optimal STBC Precoding with Channel Covariance Feedback for Minimum Error Probability
... decoding error. The channel covariance information may be fed back from the receiver. Such a system may be considered more practical than the case when true CSI is available at the transmitter, because in that ...
9
Minimum Error Rate Training in Statistical Machine Translation
... Many tasks in natural language processing have evaluation criteria that go beyond simply count- ing the number of wrong decisions the system makes. Some often used criteria are, for example, F-Measure for parsing, mean ...
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Stabilizing Minimum Error Rate Training
... Next, Powell’s algorithm is used to find the weights that maximize BLEU score when used to choose the best hypotheses from the n-best lists... are plugged back into the decoder, and the [r] ...
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Regularized Minimum Error Rate Training
... In this paper, we have shown that MERT can scale to a much larger number of features than previously thought, thanks to regularization and a direction finder that directs the search towa[r] ...
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Minimum Bit Error Rate Multiuser Detection in Multiple Antenna Aided OFDM
... the minimum mean-squared-error (MMSE) mul- tiuser detector ...the error-probability or bit-error rate (BER), rather than the mean-squared error ...the minimum bit-error ...
5
Adaptive linear filtering design with minimum symbol error probability criterion
... varying minimum spatial separation θ, and the results are depicted in ...the minimum spatial separation was below 55 ◦ , the system was inherently linearly ...
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Adaptive Minimum Bit Error Rate Beamforming Assisted QPSK Receiver
... • An adaptive beamforming assisted multiuser detection scheme based on the minimum bit error rate design has been derived for multiple receive antennas aided SDMA systems • The minimum b[r] ...
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Adaptive Minimum Bit Error Rate Beamforming Assisted QPSK Receiver
... Spatial processing with adaptive antenna array has shown real promise for substantial capacity enhancement in wireless commu- nication [1]–[5]. Adaptive beamforming can separate signals trans- mitted on the same carrier ...
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Principal Component Analysis for Supervised Learning: a minimum classification error approach
... Bayes error rate for classification is defined as the probability of the classification error, ...expected error rate. This error estimation can have a simplified form by imposing some ...
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Evaluation of Analysis by Cross-Validation. Part II: Diagnostic and Optimization of Analysis Error Covariance
... uncorrelated with the background error. Right panel, with correlated errors. the analysis error variance) is minimum. Yet, the principles and theory still hold in that case[r] ...
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