large-scale estimation methods
Large Scale Translation Quality Estimation
... We show preliminary results on transferring training data from en-es European Parliament (Europarl) domain to en-es, en-it and en-pt in the subtitling domain. The transfer learning method that shows promising results is ...
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Estimation of Horizontal Accuracy of the Large-Scale Digital Maps***
... different methods of digital data production indicates that digital map data acquired by direct survey with an electronic tachymeter (object A) is marked by the highest ...
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Large scale Anopheles arabiensis egg quantification methods for mass rearing operations
... collected from routine insectary-scale rearing. Such a method would allow rearing trays to be filled with an equal number of eggs, leading, if fed with the same quan- tity of larval food, to a synchronized larval ...
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Large scale Multitask Learning for Machine Translation Quality Estimation
... Similarly, de Souza et al. studied multitask learn- ing to deal with data coming from different train- ing/test set distributions or domains, and generally scenarios in which training data is scarce. Offline multitask ...
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The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R
... Estimating large covariance and precision matrices is a fundamental problem which has many applications in modern statistics and machine ...matrix estimation methods have been proposed, including ...
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Efficient Large-Scale Stereo Reconstruction using Variational Methods
... For evaluation we used the KITTI odometry dataset [34], containing 21 automotive sequences performing different driving scenarios with about 42,000 stereo image pairs in total, recorded at 10 fps. As in [29] we ran the ...
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Methods for large-scale Microbiome Analysis using MEGAN
... a large variety of ...an estimation of a wrong and a much higher number of species, which will ultimately influence the outcome of the downstream ...
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Large Scale Experiments Data Analysis for Estimation of Hydrodynamic Force Coefficients
... domain methods which may be used to analyze experiments data on the force experienced by a circular cylinder in wave and current to estimate drag and inertia coefficients for use in Morison’s ...the ...
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Link Gain Matrix Estimation in Distributed Large Scale Wireless Networks
... interpolation methods permitted reasonably accurate estimates to be obtained using only a few thousand measurements instead of ...gain estimation errors with a much- reduced number of ...
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Review of Different Methods Used for Large-Scale Urban Road Networks Traffic State Estimation
... the estimation or collecting the information related to traffic state for large scale urban road ...many methods presented by different authors, however each of this method suffered from few ...
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A Method for Large Scale IPTV Quality Estimation
... mining methods described above is more applied in QoE index analysis, however, most researchers take one or two data mining methods alone to analysis QoE indexes without integration so that indexes selected ...
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Fast Linear Algorithms for Machine Learning
... linear methods like Regression, Principal Component Analysis and Canoni- cal Correlation Analysis are well understood and widely used by the machine learning community for predictive modeling and feature ...these ...
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Numerical Methods for Large Eigenvalue Problems - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... The second observation to be made when comparing the state of the field now and two decades ago is that at the same time the basic tools used to compute spec- tra have essentially not changed much: Krylov subspaces are ...
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Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data
... recording and stimulation of neural activity in retinal ganglion cells. There, perva- siveness of stimulation artifacts stymies our ability to make sense of data: recordings in multi-electrode arrays in response to ...
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User Behavior Analysis and Prediction Methods for Large-scale Video-ondemand
... this methods of clustering is qualified should be tested, and also this bad performance of prediction is caused by the content of the program should also be studied, which brings up the value of Study ...
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A Large-scale Study of Statistical Machine Translation Methods for Khmer Language
... We used two automatic criteria for the evalua- tion of the machine translation output. One was the de facto standard automatic evaluation met- ric Bilingual Evaluation Understudy (BLEU) (Papineni et al., 2001) and the ...
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JCS Net : joint classification and super resolution network for small scale pedestrian detection in surveillance images
... detection methods have proven to be successful in various applications, detecting small-scale pedestrian from surveillance images is still ...the large-scale ...the large-scale ...
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A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
... compare methods solving (5) with the bias ...for methods solving (1), we begin with checking the running time to reduce the relative error of the function value and the scaled norm of the minimum-norm ...
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A large-scale analysis study on the clinical and viral characteristics of hepatitis B infection with concurrence of hepatitis B surface or E antigens and their corresponding antibodies.
... Further large-scale, multi-center studies are needed to clarify the clinical implications of these serological patterns (HBsAg and anti-HBs positivity, or HBsAg and anti-HBs positivity), including specific ...
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Data Governance in Large-scale Biomedical Research: Tools, Methods and Policy Goals
... – The types of data used in biomedical research; – The routes by which researchers will access data; – The types of actors who will be involved in data. governance;[r] ...
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