minimum error rate learning
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 ...
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Principal Component Analysis for Supervised Learning: a minimum classification error approach
... the rate of corrected classified points, is the metric used to evaluate the ...a minimum of 10 nodes per leaf, and Fisher’s Linear Discriminant were used for ...
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Minimum Bit Error Rate Design for Space Time Equalisation Based Multiuser Detection
... is substituted by the STE’s decision . We also trained the LMS and LBER STE-based MUDs, first with 300 training symbols, and then switched them to the DD mode. The resulting learning curves are also plotted in ...
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Optimal Search for Minimum Error Rate Training
... Other research has explored alternate methods of gradient-free optimization, such as the downhill- simplex algorithm (Nelder and Mead, 1965; Zens et al., 2007; Zhao and Chen, 2009). Although the search space is different ...
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Adaptive minimum bit error rate filtering
... averaged over 30 runs, given SNR ¼ 12 dB and two different initial weight vector conditions. From Fig. 4, it can be seen that this stochastic gradient adaptive MBER algorithm has a reasonable convergence rate. ...
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Neural Network based Minimization of BER in Multi-User Detection in SDMA
... approximate minimum bit error rate approach to adaptive multiuser receivers using dynamic neural networks based on Adaptive learning algorithm has been ...
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Regularized Minimum Error Rate Training
... Finally, as shown in Table 2, we see that MERT ex- periments that rely on a good initial starting point w 0 generally perform better than when starting from a uniform vector. While having to compute w 0 in the first ...
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Adaptive Minimum Bit Error Rate Beamforming
... dB. Fig. 7 depicts the learning curves obtained. Note that a vari- able adaptive step size was used, where over each randomly ini- tialized run for the first 25 samples we had , which was reduced to afterward. The ...
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Adaptive Minimum Bit Error Rate Beamforming Assisted QPSK Receiver
... different initial weight vectors. It can be seen that this block-data adaptive MBER algorithm converged rapidly. The effect of the block size K on the performance of this block-data adaptive MBER algorithm is ...
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Fading Performance Evaluation of Adaptive MSER Beamforming Receiver for QAM Systems
... the minimum angular separation θ = 27 ◦ , ...fading rate increased from f ¯ D = 10 −4 to 10 −3 ...the minimum angular separation θ uniformly in [20 ◦ , 50 ◦ ] and averaged the SER ...
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Lattice based Minimum Error Rate Training for Statistical Machine Translation
... The memory efficiency of the suggested algorithm results from the following theorem which provides a novel upper bound for the number of cost mini- mizing paths in a directed acyclic graph with arc- specific affine cost ...
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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 ...
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Adaptive Minimum Bit Error Rate Beamforming Assisted Receiver for Wireless Communications
... MMSE decision directed training MBER.. Bit Error Rate.[r] ...
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Smart Beamforming for Wireless Communications: A Novel Minimum Bit Error Rate Approach
... 1e-4 MMSE decision directed training MBER.. MMSE decision directed training MBER.[r] ...
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Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization
... as minimum error rate training (MERT) can be extremely time-consuming, leading to a slow turn- around rate for SMT research and exper- ...
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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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Minimum distance error correction
... which error is detected and the empty contination string at the ...its minimum distance from the actual input is ...its minimum distance is less than the current best, then this repair becomes the ...
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Iterative Soft Interference Cancellation Aided Minimum Bit Error Rate Uplink Receiver Beamforming
... Since the discovery of turbo codes [3], iterative detection [4] has been applied in the context of joint channel estimation and equalization [5], in multiuser detection [6] and numerous other coded communication systems ...
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Adaptive minimum symbol error rate beamforming assisted receiver for quadrature amplitude modulation systems
... The system supports S users, and each user transmits an M -QAM signal on the same carrier frequency ω = 2πf . The receiver is equipped with a linear antenna array consist- ing of L uniformly spaced elements. We assume ...
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Adaptive Minimum Bit Error Rate Beamforming Assisted Receiver for QPSK Wireless Communication
... served any occurrence of the algorithm being trapped at some local minimum solution. This is likely to be a consequence of the specific shape of the BER surface. Note that the BER is invariant to a positive ...
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