multi-source
Combining cooperative diversity and network coding in uplink multi source multi relay networks
... In this paper, a new scheme of combining cooperative diversity with network coding is proposed for wireless uplink multi-source multi-relay networks. The existing network-coded cooperative scheme ...
10
Multi-Source Detection and Location in Wheel-Rail Noise
... sound source in the presence of better, if there are multiple dying when the sound ...sound source localization problem, many methods developed by scholars at home and abroad, of which the "maximum ...
7
Word Lattices for Multi Source Translation
... different multi-source translation methods discussed above, in this task we also want to examine what happens when we use different numbers of input ...
9
Input Combination Strategies for Multi Source Transformer Decoder
... the multi-source meth- ods significantly surpass the single-source base- ...the source languages is missing, so that the translation system does not overly rely on a single source ...
8
Multi Source Eco Hybrid Vehicle
... Our model of multi-source eco-hybrid vehicle is simple yet effective. We have separated the complex integration part of engine and electric motor. The engine sits on the front of the vehicle while the motor ...
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Multi-Source Neural Variational Inference
... Learning from multiple sources of information is an impor- tant problem in machine-learning research. The key chal- lenges are learning representations and formulating inference methods that take into account the ...
8
Application of information fusion technologies for multi source data
... single source of data source; Vehicle identification: including traffic access division and the safe operation status confirmation for the beyond boundary vehicles; Vehicle tracking application: ...
5
Multi source morphosyntactic tagging for spoken Rusyn
... We have investigated several approaches to mor- phosyntactic tagging of spoken Rusyn without re- lying on annotated Rusyn training data nor on an- notation projection from aligned parallel data. In- stead, we argued that ...
9
Ensemble Learning for Multi Source Neural Machine Translation
... the multi-source translation ...of multi-source translation. Firat et al. (2016) evaluate multi-source ensemble method on French-Spanish into ...
10
Multi source named entity typing for social media
... using multi-source learn- ing, considering information obtained by alignment to the Freebase knowledge base, Web-scale distributional patterns, and global semi-structured contexts re- trieved by means of ...
10
Improving The SFA Algorithm by Employing Multi-Source Data
... for multi-source sentiment classification of ...the source, and after training the hybrid classification model, it is used for the sentiment classification of the target test ...
9
Multi Source Transfer of Delexicalized Dependency Parsers
... one can transfer part-of-speech tags, then a large part of transferring unlabeled dependencies has been solved. This observation should lead to a new base- line in unsupervised and projected grammar induc- tion – the UAS ...
11
MSTParser Model Interpolation for Multi Source Delexicalized Transfer
... We introduce interpolation of trained MSTParser models as a resource combi- nation method for multi-source delexical- ized parser transfer. We present both an unweighted method, as well as a variant in ...
5
AGC of Multi Source Multi Area Power System using ADRC
... ABSTRACT: Automatic Generation Control (AGC) has gained its importance due to the increase in size and structure of the interconnected power system. It ensures the frequency and tie line powers are within their allowed ...
12
Multi Source Neural Machine Translation with Missing Data
... for multi-source neural machine translation (NMT) using an incomplete multilingual corpus in which some transla- tions are ...on multi-source translation did not ex- plicitly handle such ...in ...
8
Hybrid Machine Translation with Multi-Source Encoder-Decoder Long Short-Term Memory in English-Malay Translation
... Abstract— Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) are the state-of-the-art approaches in machine translation (MT). The translation produced by an SMT is based on the statistical ...
7
Inferring source attribution from a multi year multi source dataset of Salmonella in Minnesota
... Ahlstrom, Christina, Muellner, Petra, Spencer, Simon E. F., Hong, Samuel, Saupe, Amy, Rovira, Albert, Hedberg, Craig, Perez, Andres, Muellner, Ulrich and Alvarez, Julio. (2017) Inferring source attribution from a ...
34
Multi source entity resolution
... during multi-source entity res- olution we discuss related ...multiple source in different ...same source can never refer to the same entity in the real ...
64
The Multi source and Multi Operation Domain Coordinated Control Strategy of Power Grid
... The power grid is divided into three operating domains [14-15] , which are determined according to the nature of multi-source [16-18] . Hydropower and thermal power are conventional power sources, with ...
11
Multi Source Neural Translation
... For the single-source models, we follow the train- ing procedure used in Luong et al. (2015b), but with 15 epochs and halving the learning rate every full epoch after the 10th epoch. We also re-scale the ...
5