a machine learning approach to twitter user classification

... M, Hoareau M, Ranomenjanahary S, Reynaud B, Lefeuvre P, Lett JM Asystasia mosaic madagascar virus: a novel bipartite begomovirus infecting the weed Asystasia gangetica in Madagascar Arch Virol ... Additional file 1: Table S1 Additional file shows the accession numbers of the complete genomes used to create the datasets Data quality The data available in public databases may contain non-standardized, ... genera of this family requires caution and has become a challenge due to a large number of sequences available in databases Moreover, advanced knowledge in taxonomy and bioinformatics analyses

Ngày tải lên: 25/11/2020, 17:31

... crucial patterns from the total AE data, as well as particular P-wave arrivals, may provide clues for distinguishing between real events and extraneous signals, thus improving the spatial accuracy ... of signal processing and machine learning techniques based on hierarchical clustering and support vector machines to process multi-sensor AE data generated by the inception and propagation of ... emissions (AEs) generated by crack inception and propagation Microcrack localization has obvious application in non-destructive structural health monitoring Experimental data was obtained by inducing

Ngày tải lên: 21/06/2014, 08:20

... of machine learning indicates that machines are capable of learning However, people in other fields have criticized the capability of machine learning by saying that machines are neither able to ... them, data mining and machine learning are different in both philosophical and practical aspects In terms of philosophical aspects, data mining is similar to human research tasks and machine learning ... in Big Data 13 Han Liu Alexander Gegov Mihaela Cocea Rule Based Systems for Big Data A Machine Learning Approach www.allitebooks.com Studies in Big Data Volume 13 Series editor Janusz Kacprzyk,

Ngày tải lên: 04/03/2019, 16:13

... of machine learning indicates that machines are capable of learning However, people in other fields have criticized the capability of machine learning by saying that machines are neither able to ... them, data mining and machine learning are different in both philosophical and practical aspects In terms of philosophical aspects, data mining is similar to human research tasks and machine learning ... in Big Data 13 Han Liu Alexander Gegov Mihaela Cocea Rule Based Systems for Big Data A Machine Learning Approach www.allitebooks.com Studies in Big Data Volume 13 Series editor Janusz Kacprzyk,

Ngày tải lên: 12/04/2019, 00:45

... of machine learning indicates that machines are capable of learning However, people in other fields have criticized the capability of machine learning by saying that machines are neither able to ... them, data mining and machine learning are different in both philosophical and practical aspects In terms of philosophical aspects, data mining is similar to human research tasks and machine learning ... in Big Data 13 Han Liu Alexander Gegov Mihaela Cocea Rule Based Systems for Big Data A Machine Learning Approach www.allitebooks.com Studies in Big Data Volume 13 Series editor Janusz Kacprzyk,

Ngày tải lên: 13/04/2019, 00:23

... trastuzumab therapy (95% C.I., 0.955—0.999) respectively Overall, bootstrap aggregated classifiers performed better among all evaluated machine learning models Conclusions: A machine learning approach ... therapies: a machine learning approach Frank P Y Lin1,2,3*, Adrian Pokorny1, Christina Teng1, Rachel Dear1,4 and Richard J Epstein1,2,3 Abstract Background: Multidisciplinary team (MDT) meetings are ... supervised machine learning algorithms Supervised machine learning encompasses a wide range of computational methods that use historical data to train models for predicting the outcomes of new cases

Ngày tải lên: 20/09/2020, 18:53

... experimentation and data analysis OE edited the manuscript and directed the study All authors read and approved the final manuscript Additional files Ethics approval and consent to participate Not applicable ... and alternate machine learning frameworks such as random forests have the potential to outperform complex ANNs in these feature spaces Herein, we use publicly available MS data to develop feature ... hypothesize that it is absent because MS data is only partially dependent on chemical affinity data Further analysis should strive to identify other explicative factors within MS data For example, analysis

Ngày tải lên: 25/11/2020, 13:07

... Chandar SAP, Lauly S, Larochelle H, Khapra MM, Ravindran B, Raykar VC, Saha A An autoencoder approach to learning bilingual word representations In: Proceedings of NIPS Montréal: Curran Associates, ... source language word pS Since neural network parameters are trained using a set of translation pairs Dlex , f in our classification approach can be interpreted as an automatically trained similarity ... and abbreviations are abundant For instance, the following pairs are English-Dutch translation pairs in the biomedical domain: angiography:angiografie, intracranial:intracranieel, cell membrane:celmembraan,

Ngày tải lên: 25/11/2020, 14:05

... matrix b The calculation of TAD quality score Two adjacent TADs are denoted as i and j The area between TADs i and j that has few interactions is labeled as E The intra(i) is the average contact ... human embryonic stem cell (hESC) [18] Generally speaking, ClusterTAD takes a Hi-C data contact matrix as input, reformats the input data, and groups the contact pairs that are spatially close to ... only parameter that needs to be defined And the presumably best K value for a dataset can be estimated automatically Oluwadare and Cheng BMC Bioinformatics (2017) 18:480 by ClusterTAD for user’s

Ngày tải lên: 25/11/2020, 16:30

... oxidation-prone (positive dataset) and 853 were oxidation-resistant (negative dataset) We use a machine learning approach to generate predictive models from these datasets Among the multiple features ... Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar de Louis Pasteur s/n, 29071 Málaga, Spain Departamento de Lenguajes y Ciencias de la Computación, ... oxygen; SASA: Solvent accessible surface area; SVM: Support vector machine Acknowledgements We thank Alica Estaban del Valle for helping with the grammar and spelling Funding This work was partially

Ngày tải lên: 25/11/2020, 17:34

... SRAM In this paper, the use of a machine learning-based approach is being proposed to assess the SRAM memory failure rate This research analyzes the ability to apply various machine learning approaches ... Citation Thanniru, Ravindra; Kapila, Gautam; and Lohia, Nibhrat (2021) "Machine Learning Approach to Stability Analysis of Semiconductor Memory Element," SMU Data Science Review: Vol : No , Article ... simulation-based approach with features or parameters representing manufacturing variability and memory use conditions Building a machine learning approach that could mimic a circuit simulator-based

Ngày tải lên: 23/10/2022, 20:44

... detailed comparative study reveals that PaPrBaG has several advantages over sequence similarity approaches Most importantly, it always provides a prediction whereas other approaches discard a large number ... reads Kraken-16 and BLAST still miss a considerable fraction of reads whereas the machine learning based approaches always return a prediction All methods show true and false predictions to a ... that are known to colonise the same habitat in healthy humans according to the HMP These were Lactobacillus salivarius, Lactobacillus reuteri, Lactobacillus rhamnosus, Bifidobacterium breve and

Ngày tải lên: 04/12/2022, 15:55

... textual data + Market data are the temporal historical price-related numerical data of financial markets Analysts and traders use the data to analyze the historical trends and the latest stock prices ... data, and then pre-processing that data so that it can be fed to a machine learning model  Types of data: The prediction models generally use two types of data: market data and textual data ... the data is available, it needs some pre- processing so that it can be fed to a machine learning model  Machine Learning Methods: After the data is pre-processed and transformed to a standard

Ngày tải lên: 25/09/2024, 14:33

... [114] S Vijayakumar, A D’Souza, T Shibata, J Conradt and S Schaal, “Statistical learning for humanoid robots,” Auton Robots, Vol 12(1), pp 59–72, 2002 [115] S Vijayakumar and S Schaal, “Locally weighted ... 21:40 113 CHAPTER Conclusions In the previous chapters, we described both a general perceptual organization approach as well as its application to a number of computer vision and machine learning ... regression: An o(n) algorithm for incremental real time learning in high dimensional space,” in Int Conf on Machine Learning, 2000, pp I: 288–293 [116] J Wang, Z Zhang and H Zha, “Adaptive manifold learning,”

Ngày tải lên: 14/09/2020, 23:37

... can be generally categorized into two types – algorithm level approaches and data level approaches Algorithm level approaches either alter... PROBLEM OF DATA IMBALANCE The traditional machine ... I.H. and E. Frank, Data mining: practical machine learning tools and techniques with Java implementations. 1999, San Francisco: Morgan Kaufmann. Woods, K.S., et al., Comparative evaluation of pattern ... estimation. J. Math. Psychol., 2003. 47(1): p. 90-100. Ng, T.-P., et al., Factors associated with acute health care use in a national adult asthma management program. Annals of Allergy, Asthma and

Ngày tải lên: 10/09/2015, 15:53

... an approach that focuses on the learners’ satisfaction when they are participating in online learning activities through the addition and considering factors related to the interaction, collaboration, ... following factors: Form of assessment of the group (X1) is the average of the variables (SA, GPA, TA, OSPA, RPA), satisfaction of combined evaluation forms (X2) is the average of the variables (LCPA, ... indicating that the model was appropriate Small variance inflation factor of about 1000 to 1300 in Table showed that the multicollinearity of the independent variables was not significant, and

Ngày tải lên: 16/12/2017, 16:53

... manufacturers and sellers to distinguish their products are claimed as trademarks Where those designations appear in this book, and O’Reilly Media, Inc was aware of a trademark claim, the designations have ... tabs (“action”, params) Method The bind () Method Examples of Using Tabs Dynamic Creation of Tabs Modifying the Contents of a Tab Using Ajax Transmitting the Information to the Server via Ajax ... paragraph disappears, while the second appears In Figure 14-9, the second paragraph is completely visible and has a white background Figure 14-9 End of the highlight effect: paragraph has disappeared

Ngày tải lên: 19/04/2019, 15:50

... generation Histogram computation We used publicly available WGBS DNA methylation data along with available complementary ATAC-seq or RNA-seq data generated from the same biological samples to construct ... DNA methylomes and associated complementary datasets from the same biological samples such as differential Assay for Transposase Accessible Chromatin sequencing (ATAC-seq) peaks or RNA-seq data ... learning algorithm requires access to a high quality training dataset Due to the lack of a biological dataset with known DMRs and non-DMRs, we generated a training dataset using publicly available

Ngày tải lên: 25/11/2020, 12:21

... the calibration accuracies, can be substantially improved by applying a novel non-parametric Bayesian approach As with the previous methods, this approach requires a training set But rather than ... information available for clinical decision making This novel non-parametric Bayesian approach is demonstrated on a variety of data sets, including simulated classifier outputs, biomedical data sets ... with a likelihood scale Current state-of-the-art calibration methods are generally accurate and applicable to many ML models, but improved granularity and accuracy of such methods would increase

Ngày tải lên: 25/11/2020, 17:05

... between datasets, we treat each dataset as a separate task even when the annotators sought to annotate the same named entities Thus datasets and tasks are used interchangeably We first develop a single ... aimed at types not covered in any existing datasets and can aid in obtaining required annotations faster even if the resulting datasets are smaller Caruana [9] demonstrated that sampling data ... is to use multiple annotated datasets together to train a model for improved performance on a single dataset This can help since datasets may contain complementary information that can help to

Ngày tải lên: 25/11/2020, 17:16