a machine learning approach to tcp throughput prediction

... circle amplification (RCA) and advanced metagenomics approaches have enabled the elucidation of viromes and the identification of many viral agents in a large number of plant species As a result, ... some cases, geminiviruses may be associated with beta satellite (DNA-Beta) or alpha satellite DNA (DNA-Alpha) [24] Beta satellites are DNA molecules with approximately 1.35 kb, and code a single ... Additional file 1: Table S1 Additional file 2 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,

Ngày tải lên: 25/11/2020, 17:31

... statistical analysis Custom PERL scripts were used for data cleaning, experimental pipeline, and aggregated analysis Fig 1 The analytic approach for comparing performance between machine learning ... Trang 1R E S E A R C H A R T I C L E Open AccessComputational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach Frank ... recommendations by machine learning algorithms about adjuvant trastuzumab therapy for each case (PDF 864 kb) Abbreviations ADTree: Alternating decision tree; AUC: Area under the receiver operating characteristic

Ngày tải lên: 20/09/2020, 18:53

... of data: market data and 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 ... Learning to study the data and implement several algorithms that can extract patterns from the FPT stock‟s historical data THEORETICAL BASIC AND RELATED RESEARCHMachine Learning Stock Market Prediction ... into train and test for validating machine learning models?,"Machine Learning Plus Available: https://www.machinelearningplus.com/machine-learning/train-test-split/ [5] D Shah, H Isah, and F Zulkernine,

Ngày tải lên: 25/09/2024, 14:33

... ofmachine learning indicates that machines are capable of learning However, peoplein other fields have criticized the capability of machine learning by saying thatmachines are neither able to ... them, data mining and machine learning are different in bothphilosophical and practical aspects In terms of philosophical aspects, data mining is similar to human research tasksand machine learning ... Trang 1Studies in Big Data 13Han Liu Alexander Gegov Mihaela Cocea Rule Based Systems for Big Data A Machine Learning Approach www.allitebooks.com Trang 2Studies in Big DataTrang 3The

Ngày tải lên: 04/03/2019, 16:13

... ofmachine learning indicates that machines are capable of learning However, peoplein other fields have criticized the capability of machine learning by saying thatmachines are neither able to ... them, data mining and machine learning are different in bothphilosophical and practical aspects In terms of philosophical aspects, data mining is similar to human research tasksand machine learning ... Trang 1Studies in Big Data 13Han Liu Alexander Gegov Mihaela Cocea Rule Based Systems for Big Data A Machine Learning Approach www.allitebooks.com Trang 2Studies in Big DataTrang 3The

Ngày tải lên: 12/04/2019, 00:45

... ofmachine learning indicates that machines are capable of learning However, peoplein other fields have criticized the capability of machine learning by saying thatmachines are neither able to ... them, data mining and machine learning are different in bothphilosophical and practical aspects In terms of philosophical aspects, data mining is similar to human research tasksand machine learning ... Trang 1Studies in Big Data 13Han Liu Alexander Gegov Mihaela Cocea Rule Based Systems for Big Data A Machine Learning Approach www.allitebooks.com Trang 2Studies in Big DataTrang 3The

Ngày tải lên: 13/04/2019, 00:23

... classification The random-forest approach also outperforms a deep neural network and a convolutional neural network trained on identical data Finally, we use our large database to confirm that ... reflects a classifier’s ability to separate highly unbalanced datasets compared to the area under the receiver operat-ing characteristic curve (AUROC) While the AUROC has a value of 0.5 for a random ... encoding as features [9] Additional biochemical features and sequence repre-sentations have the potential to improve performance, and alternate machine learning frameworks such as ran-dom forests have

Ngày tải lên: 25/11/2020, 13:07

... Since neural network parameters are trained using a set of translation pairs D lex , f in our classification approach can be interpreted as an automatically trained similar-ity function For each positive ... English language such as the Unified Med-ical Language System (UMLS) thesaurus lack translations into other languages for many of the terms1 Translation dictionaries and thesauri are available for ... acronyms and abbreviations are abundant For instance, the follow-ing pairs are English-Dutch translation pairs in the biomedical domain: angiography:angiografie, intracra-nial:intracranieel ,

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 ... Trang 1R E S E A R C H A R T I C L E Open AccessClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data Oluwatosin ... reformats the input data, and groups the contact pairs that are spatially close to each other into the same cluster These groups are thereafter used to identify TADs To provide a de-tailed clarification

Ngày tải lên: 25/11/2020, 16:30

... Trang 1R E S E A R C H A R T I C L E Open AccessA machine learning approach for predicting methionine oxidation sites Juan C Aledo1* , Francisco R Cantón1and Francisco J Veredas2 Abstract Background: ... experimental approaches are expensive and time-consuming Therefore, computational methods designed to predict methionine oxidation sites are an attractive alternative As a first approach to this matter, ... (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 used in the classification

Ngày tải lên: 25/11/2020, 17:34

... Aims and ApproachesThis thesis focuses on leveraging machine learning techniques to utilize social media as a valuable sensor for healthcare, particularly in the realm of mental health.• ... the application of machine learning techniques in social media and mental healthcare, focusing on supervised learning methods like classification and unsupervised learning approaches such as topic ... applications, particularly in social media and health analytics Research indicates that extracting latent topics from social media can significantly enhance health research For instance, studies have

Ngày tải lên: 11/07/2021, 16:36

... Lohia, Nibhrat (2021) "Machine Learning Approach to Stability Trang 2Machine Learning Approach to Stability Analysis of Semiconductor Memory Element Ravindra Thanniru1, Gautam Kapila1, Nibhrat ... 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 ... Machine Learning based stability analysis approaches Dataset associated with memory element failures is highly imbalanced, as very few failures are recorded The data set for the work is available

Ngày tải lên: 23/10/2022, 20:44

... 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 ... genome metadata in conjunction with a rule-based protocol A detailed comparative study reveals that PaPrBaG has several advantages over sequence similarity approaches Most importantly, it always provides ... 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

... be an indication of aggressive accounting practices or manipulation of costs • Total Accruals to Total Assets (TATA): The TATA indicator compares the level of accruals in proportion to total assets ... societies, as well as all stakeholders involved Ultimately, a financial statements fraud case can affect an economy in such a way that leads to the relocation of a company that has great impact on ... data points Recent progress in machine learning has attained what appears to be a human level of semantic understanding and information extraction, and sometimes the ability to detect abstract

Ngày tải lên: 07/11/2024, 14:56

... or ap-an outlier before ap-all the necessap-ary informap-ation hap-as been ap-accumulap-ated.Finally, we believe that a model-free, data-driven design is more appropriate for a generalapproach ... accidental formations Later, Mohan and Nevatia [63] and Dolan andRiseman [17] also proposed perceptual organization approaches based on the Gestalt principles.Both are symbolic and operate in a hierarchical ... ability to attach attributes to each token, and a greater flexibility in assigning meaningfulinterpretations to tokens An important feature of our approach is that we are able to infer allpossible

Ngày tải lên: 14/09/2020, 23:37

... other hand, most of the algorithmic level approaches have been shown to be equivalent to data sampling approaches Some other approaches make additional assumptions For example, a popular approach ... DATA IMBALANCE The traditional machine learners assume that the class distribution for the testing data is the same as the training data, and they aim to maximize the overall prediction accuracy ... techniques can be generally categorized into two types – algorithm level approaches and data level approaches Algorithm level approaches either alter the existing machine learning approaches or create

Ngày tải lên: 10/09/2015, 15:53

... motif based method 1.4.3 Machine learning approach Unlike sequence similarity approach and motif based approach, machine learning methods take a different strategy to predict protein function Machine ... bioinformatics and cheminformatics Machine learning uses computational and statistical methods to build mathematical models, and make inference from training samples [123] Machine learning is a branch ... At that time, BLAST was significantly faster than any other sequence alignment tools while maintaining comparable sensitivity It balances accuracy and computation speed After that, Gapped BLAST

Ngày tải lên: 11/09/2015, 09:10

... endonucleolytic cleavage.Given the fact that only a fraction of the several thousand known miRNAs have well-characterizedfunctions, computational approaches remain an important means of studying miRNA targets ... 149 Canis familiaris: 6 Monodelphis domestica: 107 Ateles geoffroyi: 45 Lagothrix lagotricha: 48 Saguinus labiatus: 42 Macaca mulatta: 71 Macaca nemestrina: 75 Gorilla gorilla: 86 Homo sapiens: ... only miRanda [27]and RNAHybrid are available as downloadable software that can be modified, extended and run on custom datasets Most listed algorithms also rely on target conservation across two

Ngày tải lên: 26/09/2015, 09:39

... several evaluations, tied to contextual factors to make a broader assessment of different aspects of the learner rather than simply only evaluating learner’s knowledge For BL courses, formative assessment ... content; approaches to understanding, social interaction, personal agency, cost effectiveness and easy to modify The effective implementation of BL usually can be done in several stages: making acquaintance, ... feedbacks and editing their works (Yang and Tsai2010) With supporting tools, teachers easily monitor the participating progress of students and make a more favorable evaluation (Lin et al.2001) Another

Ngày tải lên: 16/12/2017, 16:53

... used publicly available WGBS DNA methylation data along with available complementary ATAC-seq or RNA-seq data generated from the same biological sam-ples to construct the training data [36] We produced ... learning algorithm requires access to a high quality training dataset Due to the lack of a bio-logical dataset with known DMRs and non-DMRs, we generated a training dataset using publicly available ... available DNA methylomes and associated complementary data-sets from the same biological samples such as differen-tial Assay for Transposase Accessible Chromatin sequencing (ATAC-seq) peaks or RNA-seq

Ngày tải lên: 25/11/2020, 12:21