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Error Rate

Bit Error Rate (BER) Analysis of Rayleigh Fad...

Bit Error Rate (BER) Analysis of Rayleigh Fad...

... In a mobile communication environment the channel is not time invariant and is slowly varying. This characteristic feature of the channel leads to a phenomenon called Fading. Fading channels induce rapid amplitude ...

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Transductive Minimum Error Rate Training for Statistical Machine Translation

Transductive Minimum Error Rate Training for Statistical Machine Translation

... 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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Taking Binary Error Rate into Account to Improve OLSR Protocol

Taking Binary Error Rate into Account to Improve OLSR Protocol

... bit error rate (BER) in a wireless environment has an order of magnitude about 10 -3 against 10 -9 in a wired network ...loss rate and high delay since the MAC layer tries to send packets several ...

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Combined classification error rate estimator for the Fisher linear classifier

Combined classification error rate estimator for the Fisher linear classifier

... size approaches infinity (7). When these assumptions are violated, proposed method may fail to correct the bias of cross validation. However, experimental results show that bias correction works well, even when some of ...

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Direct Error Rate Minimization for Statistical Machine Translation

Direct Error Rate Minimization for Statistical Machine Translation

... which takes source sentences and a set of weights as inputs, and outputs the evaluation score (e.g., BLEU score) computed on the decoded sentences. Since it is impractical to calculate derivatives of this func- tion, we ...

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Minimizing Word Error Rate in Textual Summaries of Spoken Language

Minimizing Word Error Rate in Textual Summaries of Spoken Language

... summary accuracy relevance using speech recognizer confidence scores to rank passages with lower word error rate higher in the summarization process.. Results comparing our approach to a[r] ...

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Bit Error Rate Performance in Coherent Optical Systems

Bit Error Rate Performance in Coherent Optical Systems

... bit error is generally termed as ...bit-error rate (BER) ...bit error rates are typically on the order of 10 -6 to 10 -9 at 155 Mb/s, this is adequate for some applications such as voice and ...

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Word Error Rate Estimation for Speech Recognition: e WER

Word Error Rate Estimation for Speech Recognition: e WER

... Measuring the performance of automatic speech recognition (ASR) systems re- quires manually transcribed data in order to compute the word error rate (WER), which is often time-consuming and expen- sive. In ...

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Minimum Error Rate Training by Sampling the Translation Lattice

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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Feasibility of Human in the loop Minimum Error Rate Training

Feasibility of Human in the loop Minimum Error Rate Training

... shows that setting those weights should take into account the evaluation metric by which the MT system will eventually be judged. This is achieved by choosing the weights so as to maximize the per- formance of the MT ...

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A Fast Soft Bit Error Rate Estimation Method

A Fast Soft Bit Error Rate Estimation Method

... Copyright © 2010 Samir Saoudi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...

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Approximation of unbiased convex classification error rate estimator

Approximation of unbiased convex classification error rate estimator

... Classification error rate estimation is critical for hyperparameter selection [3, 5], feature selection [10] and combining classifiers ...of error estimation methods have been proposed [6, 7, 8, 11, ...

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Sampling Strategies for Error Rate Estimation and Quality Control

Sampling Strategies for Error Rate Estimation and Quality Control

... of error. As one takes larger samples, the margin of error and upper bound to the population error rate are ...population error rate is ...

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Bit Error Rate of Orthogonal Frequency Division Multipexing System

Bit Error Rate of Orthogonal Frequency Division Multipexing System

... Bit Error rate of OFDM is carried out with the help of cyclic prefix and the length of a guard interval varies. The BER is low for the given system indicates that amount of data received at the receiver is ...

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Bit Error Rate Analysis of OFDM

Bit Error Rate Analysis of OFDM

... OFDM is a modulation format that is being used for many of the latest wireless and telecommunications standards. OFDM has been adopted in the Wi-Fi arena where the standards like 802.11a, 802.11n, 802.11ac and more. It ...

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Adaptive Least Error Rate Algorithm for Neural Network Classifiers

Adaptive Least Error Rate Algorithm for Neural Network Classifiers

... We propose a stochastic gradient adaptive minimum error rate MER algorithm called the least error rate LER for training neural network classi ers.. INTRODUCTION We study the class of neu[r] ...

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Definition of Bit Error Rate on 16 channel DWDM system

Definition of Bit Error Rate on 16 channel DWDM system

... Nowadays while designing the fully optical communication system it cannot be done without software tools simulating a real network to avoid possible mistakes which could occur before the actual construction of ...

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Approximate Minimum Bit Error Rate Equalization for Fading Channels

Approximate Minimum Bit Error Rate Equalization for Fading Channels

... complexity. On the other hand, very complex equalizer schemes have been proposed for DS-CDMA systems in [9–11]. Paper [12] investigates the minimization of BER in MIMO systems with linear equalizers based on QPSK mod- ...

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Minimum Error Rate Training in Statistical Machine Translation

Minimum Error Rate Training in Statistical Machine Translation

... In recent years, various methods have been pro- posed to automatically evaluate machine translation quality by comparing hypothesis translations with reference translations. Examples of such methods are word error ...

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AUC Optimization vs. Error Rate Minimization

AUC Optimization vs. Error Rate Minimization

... Furthermore, the RankBoost algorithm maintains a perfect 50-50% distribution of the weights on the positive and negative examples. By Proposition 1, for even distributions, the mean of the AUC is identical to the ...

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