Class prediction
Dimensionality reduction and class prediction algorithm with application to microarray Big Data
... For all aforementioned considerations, and given the growing importance of alterna- tive statistical approaches, we propose a new approach to reduce a dataset dimension, especially for classification purposes. The ...
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Improve Class Prediction By Balancing Class Distribution For Diabetes Dataset
... imbalance class were implemented in this research; they are random resampling without replacement and random resampling with replacement, to find the influence of balance data on improving the class ...
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Enzyme sub-functional class prediction using multibiological knowledge feature respresentation and twin support vector machine
... sub-functional class prediction, computational methods have been gaining widespread attention due to the laborious and time-consuming constraints in experimental wet lab or also known as in vivo ...
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Mobile Price Class prediction using Machine Learning Techniques
... Using previous data to predict price of available and new launching product is an interesting research background for machine learning researchers. Sameerchand-Pudaruth [1] predict the prices of second hand cars in ...
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Air Quality Index Class prediction using Data Mining Techniques
... Now-a-days air pollution is increasing very rapidly in India and it is very harmful to human beings and animals also for our environment. That’s why analysis of air pollution is necessary. In this research work three ...
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Comparison of Nearest Neighbor (ibk), Regression by Discretization and Isotonic Regression Classification Algorithms for Precipitation Classes Prediction
... precipitation class prediction output results obtained showed that the nearest neighbor classifier is a suitable tool for training meteorological data for precipitation ...
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Applying Distributed Processing for Different Distance based Methods during Phylogenetic Tree Construction
... the class of the sequence with maximum credit will be included in the prediction result and the result will be Heat Shock ...Protein Prediction. So, class prediction of a protein ...
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Rapid differentiation of Xihuangcao from the three Isodon species by UPLC-ESI-QTOF-MS/MS and chemometrics analysis
... sample class prediction model was also built using Naive Bayes as a class prediction algo- rithm to rapidly determine the source species of twenty-seven batches of commercial Xihuangcao ...
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Characterizing the Genetic Structure of Populations
... Bibliography 80 5 Generalized Linear Mixed Model Class Prediction Using Microarray Data 81 5.1 Prediction Models.. 87.[r] ...
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Weighted Random Forests for Evaluating Financial Credit Risk
... Credit risk evaluation is getting important since the global financial crisis. The credit evaluation of customers is critical to financial organizations. It will be extremely helpful if the data of customers can be used ...
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One-class support vector machines for protein-protein interactions prediction
... From the literature, it is noticeable that most of the work that has been done to solve protein-protein interactions prediction problem considers it a binary classification problem. However, this assumption is not ...
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Comparative performance prediction of historical Thames A Rater class designs (Presentation)
... ▪ “A new hull will only be considered to be an A class rater hull if it is an exact replica of an existing Rater as defined above, taken from either an existing hull, or original lines[r] ...
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Isolation of T cell receptors targeting recurrent neoantigens in hematological malignancies
... important class of tumour-specific, tumour rejection antigens, and are attractive targets for TCR gene therapy of ...HLA class I alleles and can form targets for TCR gene ...HLA class I neoepitopes ...
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Statistical Input Method based on a Phrase Class n gram Model
... a class n-gram ...the prediction units of the models is a ...whose prediction unit is a word does not always have the best ...whose prediction unit is a word sequence, can treat a word ...
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ThunderSVM: A Fast SVM Library on GPUs and CPUs
... Training SVMs for regression (SVR) or for multi-class classification can be reduced to training SVMs for binary classification (SVC), as discussed in the previous study (Shevade et al., 2000). Two SVC training ...
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Biotools: an R function to predict spatial gene diversity via an individual-based approach.
... homonymous class that consists basically of a list containing: (i) a data frame with the coordinates of the prediction grid, the number of individuals found at each point of that grid, the unbiased estimate ...
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Prediction of Students’ Performance for a Multi Class Problem Using Naïve Bayes Classifier
... and prediction are comes under this task ...(target) class variables. But the test set tuples hide the class label while it applied on to the ...
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Time series recursions and stochastic approximation
... a Prediction Error or Gaussian Likelihood ...general class of recursions (including the Prediction Error Recursions) and Time Series Stochastic Approximation ...
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Target Projection Pursuit Feature Selection Quadratic Associative Classifier For Time Series Big Data Prediction
... 1 I NTRODUCTION Big data is a field used to analyze and extract the information for future use. Time series analysis is a statistical technique that handles the time series data. Time series data describes that data is ...
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Web Page Categorization through Data Mining Classification Techniques on URL Information R. GeethaRamani 1, P. Revathy *2
... In 2006, classification of web pages has been attempted through Artificial Neural Networks [15]. The methodology comprises of three steps involving extraction of features from the source of the web page, assigning ...
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