Keywords: داده های ناقص; Missing data; Incomplete data; Multiple imputation; Reproducibility; Replicability;
مقالات ISI داده های ناقص (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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.
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 ناقص; 62D99; 62F12; Empirical likelihood; Incomplete data; Nonignorable; Nonresponse; Not missing at random (NMAR); Semiparametric estimation;
Keywords: داده های ناقص; Manifold learning; Incomplete data; Nuclear norm; Regularization;
Keywords: داده های ناقص; Incomplete data; Missing data; Classification; Imputation; Feature selection; Ensemble learning;
Keywords: داده های ناقص; 62H12; 62H99; Drop-out; Identifiability; Incomplete data; Not missing at random; Repeated measurement data; Transition model;
Keywords: داده های ناقص; Incomplete data; Classification; Imputation; Clustering; Feature selection; Differential evolution;
Keywords: داده های ناقص; Attribute reduction; Rough sets; Incomplete data; Information system; Fuzzy decision;
Keywords: داده های ناقص; short-term passenger flow forecasting; urban rail network; dynamic Bayesian networks; incomplete data;
Keywords: داده های ناقص; Rock burst; BN-Bayesian networks; Naïve Bayes classifier; Tree augmented Naïve Bayes classifier; BN augmented Naïve Bayes classifier; Incomplete data; Cross-validation;
Keywords: داده های ناقص; Multi-modality; Incomplete data; Alzheimer's disease; Classification;
Keywords: داده های ناقص; Food web; Aggregation; Regular equivalence; Taxonomy; Incomplete data;
Keywords: داده های ناقص; Subspace tracking; Online matrix completion; Online variational Bayes; Incomplete data; Sparse subspace learning; Low-rank;
Keywords: داده های ناقص; System identification; Nonlinear system; Fractional derivative; Harmonic wavelet; Incomplete data;
Keywords: داده های ناقص; Incomplete data; Incremental learning; Rough sets; Probabilistic approximations;
Keywords: داده های ناقص; Skyline; Skyline queries; Incomplete data; Preference queries; Query processing
Keywords: داده های ناقص; Instance selection; Missing value imputation; Incomplete data; Data mining;
Keywords: داده های ناقص; Face action unit recognition; Incomplete data; Multi-label learning
Keywords: داده های ناقص; Skyline queries; Incomplete data; Dominance; Incomparability; Intransitivity; Cyclicity
Keywords: داده های ناقص; Structural Health Monitoring; Structural Dynamics; Incomplete Data; Data Structure; Sparse Representation; Low-rank structure
Keywords: داده های ناقص; Incomplete data; k-dominant skyline query; Query processing;
Keywords: داده های ناقص; Incomplete data; Extreme learning machine; Mutual information; Data subset; Weighted majority voting;
Keywords: داده های ناقص; Algorithm MCFS; Multi-criteria based feature selection algorithm on cost-sensitive data with missing values; Feature selection; Cost-sensitive data; Multi-criteria; Incomplete data; Rough sets;
Keywords: داده های ناقص; Fault diagnosis; Bayesian network; Parameter learning; Incomplete data; Incomplete expert knowledge; Solar assisted heat pump system;
Keywords: داده های ناقص; Feature selection; Uncertainty measure; Mutual information; Incomplete data; Rough sets
Keywords: داده های ناقص; Tunnel squeezing; Bayesian networks; Naïve Bayes classifier; Incomplete data; Cross-validation; Sensitivity analysis
Keywords: داده های ناقص; Missing values; Incomplete data; Subspace analysis; Neuro-fuzzy system; Rough fuzzy approach
Keywords: داده های ناقص; Consistency; Incomplete data; Missing attribute value; Rough set theory; Probabilistic approximation;
Keywords: داده های ناقص; Template fitting; Volumetric mesh; Incomplete data; Human body reconstruction; RGB-D camera;
Keywords: داده های ناقص; Attribute reduction; Indiscernibility relation; Discernibility relation; Rough set; Incomplete data
Keywords: داده های ناقص; Factor analysis; Model selection; Maximum likelihood; Incomplete data; CM; EM;
Keywords: داده های ناقص; False discovery rate; Importance sampling; Incomplete data; Linear mixed model; Longitudinal study; Maximum likelihood; Proteomics experiment;
Keywords: داده های ناقص; Data completion; Expectation–maximization algorithm; Incomplete data; Interval estimate; Method of moments
Keywords: داده های ناقص; Probabilistic approximations; Extensions of probabilistic approximations; Singleton, subset and concept probabilistic approximations; Incomplete data
Keywords: داده های ناقص; Rock burst; Bayesian networks; Tree augmented Naïve Bayes classifier; Incomplete data; Cross-validation; Sensitivity analysis; Maximum tangential stress;
Rockburst prediction in kimberlite using decision tree with incomplete data
Keywords: داده های ناقص; Kimberlite; Rockburst; Decision tree; Incomplete data;
Adapting Axelrod's cultural dissemination model for simulating peer effects
Keywords: داده های ناقص; Agent-based modeling with incomplete empirical data; Cultural dissemination; Peer effects; Agent-based modeling; Incomplete data; Diffusion processes;
Fault diagnosis and prognosis of wastewater processes with incomplete data by the auto-associative neural networks and ARMA model
Keywords: داده های ناقص; Auto-associative Neural Networks; Fault diagnosis; Fault prognosis; Incomplete data; Wastewater;
Interval kernel Fuzzy C-Means clustering of incomplete data
Keywords: داده های ناقص; Incomplete data; Nearest neighbor interval; Kernel Fuzzy C-Means; Interval kernel distance;
Definability in Mining Incomplete Data
Keywords: داده های ناقص; Incomplete data; lost values; attribute-concept values; characteristic relation; lower and upper approximations; local and global definability ;;
Minimax estimation of a normal covariance matrix with the partial Iwasawa decomposition
Keywords: داده های ناقص; primary, 62C20, 62J07; secondary, 62H12Autoregressive model; Cholesky decomposition; Inadmissibility; Incomplete data; Minimaxity; LDL⊤LDL⊤ decomposition; Moving average model; Partial Iwasawa decomposition; Shrinkage estimator; Statistical decision theor
Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values
Keywords: داده های ناقص; Fuzzy clustering; Incomplete data; Missing value; Probabilistic information granules; Alternating optimization
Classification of incomplete data based on belief functions and K-nearest neighbors
Keywords: داده های ناقص; Incomplete data; K-nearest neighbor; Belief functions; Evidence fusion; Credal classification
A novel and robust parameter training approach for HMMs under noisy and partial access to states
Keywords: داده های ناقص; HMM; ML estimator; Incomplete data; Partially observed states
Processing k-skyband, constrained skyline, and group-by skyline queries on incomplete data
Keywords: داده های ناقص; Skyline; k-Skyband; Constrained skyline; Group-by skyline; Incomplete data; Query processing
A selective Bayes classifier with meta-heuristics for incomplete data
Keywords: داده های ناقص; Incomplete data; Missing at random; Robust Bayes Classifier; Electromagnetism-like Mechanism; Feature selection
Identification of microwave filters by analytic and rational H2H2 approximation
Keywords: داده های ناقص; Low-pass filters; System identification; Incomplete data; Model reduction; Analytic approximations; Rational approximation; Lossless rational matrices; Parameterization
Synthesizing categorical datasets to enhance inference
Keywords: داده های ناقص; Bayesian framework; Log-linear model; Contingency tables; Incomplete data
Unsupervised learning of mixture models based on swarm intelligence and neural networks with optimal completion using incomplete data
Keywords: داده های ناقص; Particle Swarm Optimization; Optimal Completion Strategy; Expectation–Maximization; Locally-tuned general regression neural networks; Finite mixture models; Unsupervised learning; Clustering; Incomplete data
Multivariate Behrens–Fisher problem with missing data
Keywords: داده های ناقص; 62H12; 62H15Approximate degrees of freedom solution; Coverage probability; Incomplete data; Maximum likelihood estimators; Moment approximation; Sizes
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
Keywords: داده های ناقص; Multi-source feature learning; Multi-task learning; Incomplete data; Ensemble;