The Bootstrap for a Fixed Forgetting Factor
Fixed Size Ordinally-Forgetting Encoding and its Applications
... LM, yielding the state-of-the-art performance in many tasks. In Neural Net- work Language Models (NNLM), FFNN and RNN [14] are two popular archi- tectures. The basic idea of NNLMs is to use word vectors to project ...
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Word Embeddings based on Fixed Size Ordinally Forgetting Encoding
... the fixed-size ordinally forgetting encod- ing (FOFE) method, recently proposed in (Zhang et ...a fixed-size code, and this encoding method was used to address the challenges of a limited size window ...
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Asymptotic Expansions and Bootstrap Approximations in Factor Analysis
... the factor analysis model and, as a consequence, the normal approximations may not be so accurate, in particular, when the sample size is not large enough compared with the number of the observed ...
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On-line forgetting factor adaptation for parameter estimation based diagnosis
... [email protected], [email protected] Abstract: This paper presents a fault detection method based on a classical transfer function parameter estimation algorithm in the discrete time domain. Non ...
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The Fixed Size Ordinally Forgetting Encoding Method for Neural Network Language Models
... the fixed-size input ...named fixed- size ordinally-forgetting encoding (FOFE), which can almost uniquely encode any variable-length word sequence into a fixed-size ...constant ...
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Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) For Natural Language Processing
... large forgetting factors (together with their associated ...“Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models” ...
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Implementation of the Least-Squares Lattice with Order and Forgetting Factor Estimation for FPGA
... Another implementation of RLS filter is presented in [24], where calculations are distributed between FPGA and the NIOS microprocessor in a single chip. Our aim is to provide a versatile highly configurable hardware RLS ...
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Dual Fixed Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models
... new fixed-sized representation for any variable-length sequence from a concatenation of two FOFE ...the forgetting factors. One FOFE code with a smaller forgetting factor is re- sponsible for ...
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On multiplicative update with forgetting factor adaptive step size for least mean-square algorithms
... † Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, France ‡ ST-Microelectronics, Grenoble, France Abstract—This paper deals with a new adaptive step-size overlay dedicated to Least Mean-Square (LMS) algorithms for ...
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Time varying Forgetting Factor Stochastic Gradient Algorithm for Nonlinear Systems with Color Noise
... time-varying forgetting factor based stochastic gradient (TVFF-SG) algorithm to estimate the system ...time-varying forgetting factor is that when the algorithm starts, we give the ...
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Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
... In Fig. 14, we test the performance of different algo- rithms considered in a non-stationary environment. Specifically, in order to simulate the non-stationary envi- ronment, we consider the scenario where the topology ...
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A Global Liquidity Factor for Fixed Income Pricing
... liquidity factor that represents a priced component and significantly relates to the cross-section of bond returns con- ...liquidity factor in bond markets that can be backed out using ...
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Seasonal Dynamic Factor Analysis and Bootstrap Inference: Application to Electricity Market Forecasting
... By means of the new bootstrap procedure we will obtain percentile-based confldence intervals for each element in the loading matrix ñ , as well as for the parameters of the VARIMA mo[r] ...
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Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting
... The existence, under certain conditions, of this asymptotic theory involving the consistency of parameter estimates obtained by maximum likelihood and state estimators obtained from the Kalman filter (see Ljung and ...
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On the Determinants of Organizational Forgetting
... contract‐area fixed effects, and paramedic fixed effects specifications, with successively more incident characteristics being controlled for moving from Model I to ...
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Intentional Forgetting of Stereotypes
... previous studies have used a DF-test containing words with no load and the words have not been connected to a person. The nature of those tests has been closer to a typical OSPAN. Another factor could be the ...
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The Factor Lasso and K Step Bootstrap Approach for Inference in High Dimensional Economic Applications
... on factor extraction followed by lasso regression for inference about parameters of interest and show that the resulting procedure has good asymptotic ...k-step bootstrap procedure that may be used to ...
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Allocating Capacity with Demand Competition: Fixed Factor Allocation*
... namely, fixed factor allocation. Fixed factor allocation incorporates the principles underlying both proportional and lexicographic allocations: it prioritizes retailers as in lexicographic ...
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Forgetting Factor Nonlinear Functional Analysis for Iterative Learning System with Time-Varying Disturbances and Unknown Uncertain
... variable forgetting factor and high-order feed-forward ILC Feed-forward control improves the anti-jamming capability and enhances the robustness of the nonlinear system; thus, the tracking errors ...
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Measuring efficiency of Tunisian schools in the presence of quasi fixed inputs: A bootstrap data envelopment analysis approach
... Bootstrap simulations were used to estimate and correct the bias, and to construct confidence intervals for the efficiency measures. The simulation results show that the efficiency measures are subject to sampling ...
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