Single-nucleotide polymorphism (SNP) tagging is widely used as a way of saving genotyping costs in association studies. A number of different tagging methods have been developed to reduce the number of markers to be genotyped while maintaining power for detecting effects on non-assayed SNPs. How the different methods perform in different settings, the degree to which they overlap and share comm...

Thai part of speech (POS) tagging is a challenged problem in natural language processing. Many techniques including artificial neural network techniques are suggested for POS tagging. Research works in Thai POS tagging so far only focused on assigning word types, but not word features. This paper proposed a technique using multilayer perception for tagging word features in Thai sentences. The f...

This paper represents a review of different tagging activities carried out on bluefin tuna (Thunnus thynnus) in the eastern Atlantic and Mediterranean Sea. Except in Croatia where tagging has been done on captive specimens, all other tagging campaigns, performed within framework of joint European Tuna Tagging Programme, have been done on bluefin tuna released in the open sea. Besides the taggin...

opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. in general, opinion mining extracts user reviews at three levels of document, sentence and feature. opinion mining at the feature level is taken into consideration more than the other two levels d...

In this paper, MapReduce programming model is used to parallelize training and tagging proceess in maximum entropy part of speech tagging for Bahasa Indonesia. In training process, MapReduce model is implemented dictionary, tagtoken, and feature creation. In tagging process, MapReduce is implemented to tag lines of document in parallel. The training experiments showed that total training time u...

Machine learning techniques are used for treating jets as images to explore the performance of boosted top quark tagging. Tagging performances studied in both hadronic and leptonic channels decay, employing a convolutional neural network (CNN) based technique along with decision trees (BDT). This computer vision approach is also applied distinguish between left right polarized quarks. In this c...