Keywords: یادگیری انعطاف پذیر; Feature weighting; Feature selection; Relief; Sparse learning; Local hyperplane; l1 regularization; Classification;
مقالات ISI یادگیری انعطاف پذیر (ترجمه نشده)
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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: یادگیری انعطاف پذیر; Alzheimer's disease; Regression; Multi-task learning; Sparse learning; Group lasso; Fused lasso; Biomarker identification;
Keywords: یادگیری انعطاف پذیر; Signal recovery; Sparse learning; Subspace modeling;
Keywords: یادگیری انعطاف پذیر; Feature selection; Self-representation; Sparse learning; Unsupervised learning;
Ordered homogeneity pursuit lasso for group variable selection with applications to spectroscopic data
Keywords: یادگیری انعطاف پذیر; Lasso; Homogeneity pursuit; Sparse learning; Variable ordering; Grouping effect; Partial least squares;
Keywords: یادگیری انعطاف پذیر; Neural motif; Feedforward inhibition; Sparse learning; Spiking neural network; Hebbian learning; Handwritten recognition;
Keywords: یادگیری انعطاف پذیر; Sparse learning; Graphical lasso; TBI; DTI;
Keywords: یادگیری انعطاف پذیر; Learning to Rank; Sparse learning; Feature dimension reduction; Expert listwise ranking;
Keywords: یادگیری انعطاف پذیر; Feature selection; Supervised learning; Semi-supervised learning; Sparse learning; 68T10;
Keywords: یادگیری انعطاف پذیر; Breast cancer; Feature analysis; Diagnosis and classification; Sparse learning
Keywords: یادگیری انعطاف پذیر; Signal classification; Image classification; Sparse learning; Group sparsity; Face recognition; Collaborative representation
Keywords: یادگیری انعطاف پذیر; Optic cup localization; Glaucoma; Model selection; Superpixel classification; Sparse learning
Keywords: یادگیری انعطاف پذیر; Tensor completion; Nuclear norm; Folded-concave penalization; Local linear approximation; Sparse learning
Keywords: یادگیری انعطاف پذیر; Feature selection; Classification; Graph classification; Sparse learning
Keywords: یادگیری انعطاف پذیر; Fixed-rank representation; Sparse learning; Robust recovery; Subspace segmentation; Outlier detection;
Keywords: یادگیری انعطاف پذیر; Computer vision; Machine learning; Image quality assessment (IQA); Full reference; Sparse learning; Kernel ridge regression (KRR);
Keywords: یادگیری انعطاف پذیر; Chinese character font categorization; LBP; Harris corner; Dimension reduction; Sparse learning
Keywords: یادگیری انعطاف پذیر; Latent low-rank representation; Sparse learning; Subspace clustering; Robust recovery; Visual analysis; Augmented Lagrangian Multiplier method; Feature extraction; Outlier detection
â2,1ââ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease
Keywords: یادگیری انعطاف پذیر; Alzheimer'S disease; Regression; Sparse learning; Multi-task learning; Kernel method;
SOL: A library for scalable online learning algorithms
Keywords: یادگیری انعطاف پذیر; Online learning; Scalable machine learning; High dimensionality; Sparse learning;
L2,p-normL2,p-norm and sample constraint based feature selection and classification for AD diagnosis
Keywords: یادگیری انعطاف پذیر; Alzheimer׳s Disease (AD); Mild Cognitive Impairment (MCI); L2,1-normL2,1-norm; Sparse learning; Multi-modality learning; Multi-task learning
Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm
Keywords: یادگیری انعطاف پذیر; Alzheimer's disease neuroimaging initiative (ADNI); Magnetic resonance imaging (MRI); Cortical thickness; Sparse learning; Cognitive function prediction;
MR image super-resolution via manifold regularized sparse learning
Keywords: یادگیری انعطاف پذیر; Sparse learning; Manifold regularization; Super-resolution; Magnetic Resonance Imaging (MRI)
Penalized partial least square discriminant analysis with ℓ1-normℓ1-norm for multi-label data
Keywords: یادگیری انعطاف پذیر; Partial least squares; Discriminant analysis; Dimension reduction; Sparse learning; Multi-label learning
MLSLR: Multilabel Learning via Sparse Logistic Regression
Keywords: یادگیری انعطاف پذیر; Sparse learning; Logistic regression; Multilabel data; Elastic net; Variable selection
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis
Keywords: یادگیری انعطاف پذیر; Surface conformal parameterization; Surface registration; Tensor-based morphometry; Sparse learning; Stability selection;
Dictionary learning and similarity regularization based image noise reduction
Keywords: یادگیری انعطاف پذیر; Image denoising; Sparse learning; Image patches; Dictionary learning; Self-similarity; Non-local means; KSVD; Non-parametric Bayesian
An iterative SVM approach to feature selection and classification in high-dimensional datasets
Keywords: یادگیری انعطاف پذیر; Feature selection; SVM; DrSVM; Sparse learning
Towards robust and effective shape modeling: Sparse shape composition
Keywords: یادگیری انعطاف پذیر; Shape prior; Medical image segmentation; Sparse learning; Lung localization; Liver segmentation;
Sparse regression learning by aggregation and Langevin Monte-Carlo
Keywords: یادگیری انعطاف پذیر; Sparse learning; Regression estimation; Logistic regression; Oracle inequalities; Sparsity prior; Langevin Monte-Carlo
A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG
Keywords: یادگیری انعطاف پذیر; Hierarchical Bayesian; Variational Bayesian; Common spatial patterns; Spatio-temporal decomposition; Inter-trial variability; Sparse learning; Brain-computer interface;
On the sparseness of 1-norm support vector machines
Keywords: یادگیری انعطاف پذیر; Sparse learning; Sparseness; 1-norm SVM; Standard SVM