Keywords: داده های نامتقارن; Long-term monitoring; Mixed model; Power analysis; Trend analysis; Test size; Unbalanced data; Variance components; Water quality;
مقالات ISI داده های نامتقارن (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: داده های نامتقارن; Activity recognition; Fuzzy temporal windows; Long short-term memory; Unbalanced data; Ensemble architectures;
Keywords: داده های نامتقارن; Data mining; Health-care analytics; Medical decision making; Transplants; Unbalanced data; United Network for Organ Sharing (UNOS);
Keywords: داده های نامتقارن; Nodule characteristic; Ensemble classifier; Rule based classification; Unbalanced data;
Keywords: داده های نامتقارن; Extreme value theory; Unsupervised; Unbalanced data; Accelerometers; Hypermotor seizures; Epileptic;
Keywords: داده های نامتقارن; Computer aided detection; Unbalanced data; Clustered microcalcifications; Mammography;
Keywords: داده های نامتقارن; Incremental learning; Unbalanced data; Fraud detection
Keywords: داده های نامتقارن; Feature selection; Microarray data; Unbalanced data; Dataset shift;
Keywords: داده های نامتقارن; Pattern recognition; Image processing; Object detection; Cascade; Unbalanced data; Ranking
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems
Keywords: داده های نامتقارن; Recommender system; Shilling attack detection; Unbalanced data; SVM; Target item analysis;
Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection
Keywords: داده های نامتقارن; Stock prediction; Unbalanced data; Feature selection; Borsa Istanbul; BIST;
Parametric bootstrap approaches for two-way MANOVA with unequal cell sizes and unequal cell covariance matrices
Keywords: داده های نامتقارن; 62F03; 62F40; 62J10Bootstrap re-sampling; Heteroscedastic two-way MANOVA; Unbalanced data
Pruning methods to MLP neural networks considering proportional apparent error rate for classification problems with unbalanced data
Keywords: داده های نامتقارن; Unbalanced data; Pruning method; MLP neural network; Proportional apparent error rate
Generalized prediction intervals for BLUPs in mixed models
Keywords: داده های نامتقارن; primary, 62F25; secondary, 62H99Best linear unbiased predictor (BLUP); REML; Coverage probability; Generalized pivotal quantity (GPQ); Unbalanced data
A parametric bootstrap approach for two-way ANOVA in presence of possible interactions with unequal variances
Keywords: داده های نامتقارن; 62F03; 62F40; 62J10Bootstrap re-sampling; Generalized pp-values; Heteroscedasticity; Unbalanced data
Bootstrapping for highly unbalanced clustered data
Keywords: داده های نامتقارن; Bootstrap; Clustered data; Fast and robust bootstrap; Quasi-likelihood estimation; Robust estimation; Unbalanced data; Variance components
Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments
Keywords: داده های نامتقارن; EM algorithm; Generalized persistence model; Sparse matrices; Unbalanced data; Variable persistence model
A novel algorithm applied to classify unbalanced data
Keywords: داده های نامتقارن; Unbalanced data; Fuzzy C-means; Bacterial foraging optimization; Analysis of variance; Hybrid algorithm
Preprocessing unbalanced data using support vector machine
Keywords: داده های نامتقارن; Hybrid method; Preprocessor; SVM; Unbalanced data; COIL data;
Two-way model with random cell sizes
Keywords: داده های نامتقارن; Two-way model; Main effects; Analysis of variance; Unbalanced data; Multinomial cell sizes;
Case study: Comparing the use of nonlinear discriminating analysis and Artificial Neural Networks in the classification of three fish species: acaras (Geophagus brasiliensis), tilapias (Tilapia rendalli) and mullets (Mugil liza)
Keywords: داده های نامتقارن; Discriminant Analysis; Geophagus brasiliensis; Tilapia rendalli; Mugil liza; Unbalanced data; Artificial Neural Networks
Modeling radiation-induced lung injury risk with an ensemble of support vector machines
Keywords: داده های نامتقارن; Support vector machine; Radiation pneumonitis; Feature selection; Ensemble learning; Unbalanced data
An asymmetric classifier based on partial least squares
Keywords: داده های نامتقارن; Partial least squares; Dimension reduction; Classification; Unbalanced data
Fuzzy relevance vector machine for learning from unbalanced data and noise
Keywords: داده های نامتقارن; Relevance vector machine; Unbalanced data; Noise; Fuzzy membership; Bayesian inference
Do unbalanced data have a negative effect on LDA?
Keywords: داده های نامتقارن; Area under an ROC curve (AUC); Linear discriminant analysis (LDA); Misclassification error rate (ER); Unbalanced data