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This paper presents a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses Maximum Mutual Information Estimation (MMIE) to build an objective function that involves a metric computed between correct transcriptions and their competing hypotheses, which are encoded as word graphs generated from the Viterbi decoding...
A simulation research concerning the gap flow performance of multi-pad hydrostatic thrust bearing having circular cavities in the large-scale vertical CNC lathe was described. The Finite Volume Method of Fluent has been used to compute fluid three-dimensional velocity field and pressure field of gap flow between the revolution working table and bearing pad. This study theoretically analyzes the influence...
According to the large size multi-oil pad hydrostatic bearing, the mathematical model of three-dimensional flow of the gap oil film of the hydrostatic bearing is established in considering the influence of variable viscosity and centrifugal force condition. The finite element method and the finite volume method are used to simulate the flow field of the gap oil film of the large size hydrostatic bearing,...
In this paper, the problem of implicit online learning is considered. A tighter convergence bound is derived, which demonstrates theoretically the feasibility of implicit update for online learning. Then we combine SMD with implicit update technique and the resulting algorithm possesses the inherent stability. Theoretical result is well corroborated by the experiments we performed which also indicate...
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