[PDF] Top 20 Using Domain Similarity for Performance Estimation
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Using Domain Similarity for Performance Estimation
... Further research should explore the usability of linear regression for other NLP tasks. Although no specific adaptation to the POS tagging task was made, it may not be straightforward to find a lin- ear relation for more ... See full document
6
Cross-Domain Item Recommendation Based on User Similarity
... source domain to target domain in order to alleviate problems of cold start and sparsity, and improve the performance of ...user similarity, which firstly introduces the trust relation among ... See full document
16
Hydrological model performance and parameter estimation in the wavelet domain
... understanding performance and structural deficits of hydrological ...furthermore, estimation of model ...parameter estimation in the time ...how similarity between es- timated wavelet-power ... See full document
16
Quality Estimation: an experimental study using unsupervised similarity measures
... that using ex- ternal data (here the Google N -grams) improves the performance (when using supervised ...between using the training data (used to produce the MT engine) and another dataset? ... See full document
7
SYNCRONIZATION METHOD FOR CARRIER FREQUENCY OFFSET IN OFDM
... In conventional method only integer frequency offset is estimated in frequency domain. Estimation range is limited. This method can effectively estimate course and fine frequency offset in OFDM system. It ... See full document
8
Semantic Textual Similarity in Quality Estimation
... The MiniExpert’s tool which we use to determine the STS scores for the DGT–TM is trained on very different data (the SICK corpus and SemEval data), which may affect its accuracy. This may explain why it did not work as ... See full document
13
Damage Level Prediction of Pier using Neuro-Genetic Hybrid
... The best performances of Neuro-Genetic Hybrids (NGH) is determined by the selection of initial weights, the architecture model of networks and appropriate activation functions. The NGH neurons applied to this study had ... See full document
7
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity
... the performance of these methods from various angles by adapting the baseline model to four adaptation ...adaptation domain measured us- ing the information-theoretic notion of cross ...CER ... See full document
12
On the orthogonalised reverse path method for nonlinear system identification
... time domain approach, referred to as the Orthogonalised Reverse Path (ORP) ...frequency domain, hopefully giving unbiased estimates of the FRF and compliance ...the estimation of coefficients of ... See full document
36
Effective Measures of Domain Similarity for Parsing
... 2003) using the variational metric (very similar results were ob- tained using ...standard Domain Adapta- tion baseline (union) on two out of three test ...measure using jensen-shannon ...ilar ... See full document
11
Bayesian Supervised Domain Adaptation for Short Text Similarity
... Models have access to training data from all ten domains (thus nine times more out-of-domain ex- amples than in-domain ones). Each model (global, individual, and adaptive) is trained on relevant anno- ... See full document
10
A Robust Subpixel Motion Estimation Algorithm Using HOS in the Parametric Domain
... The importance of image sequence processing is constantly growing with the ever increasing use of television and video systems in consumer, commercial, medical, and scientific applications. Image sequences can be ... See full document
10
A Sentence Similarity Computation for Restricted Domain
... on domain knowledge, they improved the performance of the algorithm by introducing known keywords as domain knowledge into the ...the domain dictionary, whether the word is a noun and its ... See full document
6
A Hassle Free Unsupervised Domain Adaptation Method Using Instance Similarity Features
... source domain specific features during training, can sometimes improve the classification perfor- mance, but this is not consistent and the improve- ment is ...the performance in most settings for all three ... See full document
6
Compiling large language resources using lexical similarity metrics for domain taxonomy learning
... The extraction of relevant lexical features plays a key role, since the similarity measurement will be based upon these features. Concluding from previous research (cf. [Ryu & Choi '05]), especially compound ... See full document
6
Learning over Sets using Kernel Principal Angles
... or using a regularization approach by adding small multiples of the identity matrices to the Gram matrices (Kuss and Graepel, 2003, Gestel et ...Experiments using a regularization approach prove useful for ... See full document
19
A New Makespan Estimation Model for Scientific Workflows on Heterogeneous Processing Systems
... makespan estimation model is proposed to estimate the bounds on the makespan of the workflows using minimal ...The performance of the proposed estimation model is evaluated using four ... See full document
9
Malicious Domain Detection Based on Traffic Similarity
... malicious domain detection techniques gradually raise attentions of the Internet industry and academic community, which are one of the important research topics in the field of network ...malicious domain ... See full document
6
A Rank Based Similarity Metric for Word Embeddings
... Some attempts to directly transfer rank-based measures from traditional DSMs to WE have faced difficulties (see, for example, Jebbara et al. (2018)). In this paper, we suggest a possible solution to this problem by ... See full document
6
Cross-domain graph based similarity measurement of workflows
... Most real workflows are complex in the sense that they present many non-trivial fea- tures. With ever increasing number of workflow repositories organizing and catego- rizing them to diverse need of user by manual means ... See full document
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