Keywords: یادگیری چند هسته ای; Multiple kernel learning; Writer identification; Writer verification
مقالات ISI یادگیری چند هسته ای (ترجمه نشده)
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Keywords: یادگیری چند هسته ای; Supervised classification; Support Vector Machines; Parameter tuning; Nested heuristic; Variable neighborhood search; Multiple kernel learning
Keywords: یادگیری چند هسته ای; Data representation; Sparse coding; Manifold; Feature selection; Multiple kernel learning
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Stock return prediction; News analysis
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Low-rank approximation; Kernels; SVM
Keywords: یادگیری چند هسته ای; Image categorization; SVM; Adaptive learning; Multiple instance learning; Multiple kernel learning
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Nyström approximation; Reduced computation complexity; Generalization risk analysis; Pattern classification
Keywords: یادگیری چند هسته ای; Human activity recognition; Multiple kernel learning; Spherical harmonics coefficients; Distal limb segments; Support vector machines
Keywords: یادگیری چند هسته ای; LR; Logistic Regression; rLR; robust Logistic Regression; KLR; Kernel Logistic Regression; rKLR; robust Kernel Logistic Regression; rMKLR; robust Multiple Kernel Logistic Regression; Classification; Label noise; Model selection; Multiple Kernel Learning;
Keywords: یادگیری چند هسته ای; Domain adaptation learning; Sparse representation; Label propagation; Maximum mean discrepancy; Multiple kernel learning
Keywords: یادگیری چند هسته ای; Clustering; Data fusion; Multiple kernel learning; Centered kernel alignment;
Keywords: یادگیری چند هسته ای; Multiple Kernel Learning; Empirical Kernel Mapping; Random projection; Analytical optimization; Classifier design; Pattern recognition
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Empirical kernel mapping; Locality preserving projection; Pattern recognition; Machine learning
Semi-supervised domain adaptation via Fredholm integral based kernel methods
Keywords: یادگیری چند هسته ای; Domain adaptation; Semi-supervised learning; Multiple kernel learning; Hilbert space embedding of distributions;
Chained regularization for identifying brain patterns specific to HIV infection
Keywords: یادگیری چند هسته ای; Computational neuroscience; Human immunodeficiency virus (HIV); MRI brain image analysis; Multiple kernel learning; Group sparsity;
Sparse feature kernel multi-criteria linear programming classifier
Keywords: یادگیری چند هسته ای; Feature sparsification; Multiple kernel learning; Support vector machines; Multi-criteria mathematical programming; Classification;
Exploiting score distribution for heterogenous feature fusion in image classification
Keywords: یادگیری چند هسته ای; Heterogenous feature fusion; Image classification; Multiple kernel learning; Score-distribution information;
Multiple kernel learning based on three discriminant features for a P300 speller BCI
Keywords: یادگیری چند هسته ای; Three discriminant features; Multiple kernel learning; Variable size of three discriminant feature sets; Accuracy of character recognition;
Low-rank decomposition meets kernel learning: A generalized Nyström method
Keywords: یادگیری چند هسته ای; Kernel learning; Nyström low-rank decomposition; Large-scale learning algorithms; Multiple kernel learning;
An automatic BI-RADS description of mammographic masses by fusing multiresolution features
Keywords: یادگیری چند هسته ای; BI-RADS mammographic lexicon; Mammographic mass description; Zernike moments; Curvelet transform; Multiple kernel learning;
Quasi-newton method for LP multiple kernel learning
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Quasi-Newton method; Alternating optimization
3D human motion retrieval using graph kernels based on adaptive graph construction
Keywords: یادگیری چند هسته ای; Motion retrieval; Adaptive graph; Graph kernel; Motion capture; Multiple kernel learning;
Decoding intracranial EEG data with multiple kernel learning method
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Intracranial EEG; Machine learning; Feature selection;
Improving the BoVW via discriminative visual n-grams and MKL strategies
Keywords: یادگیری چند هسته ای; Visual words; Visual n-grams; Image classification; Sequences of visual words; Multiple kernel learning
Improved multi-kernel classification machine with Nyström approximation technique and Universum data
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Nyström approximation; Reduced computation complexity; Generalization risk analysis; Pattern classification; Universum learning
Computational NeuroscienceMulti-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning
Keywords: یادگیری چند هسته ای; Sleep staging; Multi-channel electroencephalography; Joint collaborative representation; Joint sparse representation; Multiple kernel learning; Extreme learning machine;
EasyMKL: a scalable multiple kernel learning algorithm
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Kernel methods; Feature selection; Feature learning;
An efficient radius-incorporated MKL algorithm for Alzheimer׳s disease prediction
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Radius-margin bound; Support vector machines; Alzheimer׳s disease; Neuroimaging
MPEKDyL: Efficient multi-partial empirical kernel dynamic learning
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Multi-partial empirical kernel mapping; Dynamic learning; Modified Ho-Kashyap algorithm; Pattern recognition
MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection
Keywords: یادگیری چند هسته ای; Network Intrusion Detection; KDD Cup 1999; Multiple Kernel Learning; Machine Learning; Extreme Learning Machine; Ensemble Learning; Adaptive Boosting; Cyber security; Multiclass Classification; Kernel Selection; Fractional Polynomial Kernels;
E2LSH based multiple kernel approach for object detection
Keywords: یادگیری چند هسته ای; Object detection; E2LSH; Multiple kernel learning; Hadamard product;
Semi-supervised classification with Laplacian multiple kernel learning
Keywords: یادگیری چند هسته ای; Semi-supervised classification; Graph-based regularizer; Multiple kernel learning
Multiple kernel learning with NOn-conVex group spArsity
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Non-convex group sparsity; Consistent; Canonical correlation analysis; Image annotation; Feature selection; Image understanding; Oracle model
Using LR-based discriminant kernel methods with applications to speaker verification
Keywords: یادگیری چند هسته ای; Likelihood Ratio; Speaker verification; Support Vector Machine; Kernel Fisher Discriminant; Multiple Kernel Learning
A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia
Keywords: یادگیری چند هسته ای; Complex-valued fMRI data; Multiple kernel learning; Feature selection; Independent component analysis; Support vector machines; Schizophrenia;
Training Lp norm multiple kernel learning in the primal
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Manifold regularization; Primal optimization; Empirical Rademacher complexity; Data classification;
Random projection ensemble learning with multiple empirical kernels
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Empirical mapping; Random projection; Ensemble classifier; Pattern recognition
Image annotation by semi-supervised cross-domain learning with group sparsity
Keywords: یادگیری چند هسته ای; Cross-domain; Manifold regularization; Group sparsity; Multiple kernel learning; Multi-label; Image annotation; Semi-supervise; Discriminant analysis
Pattern recognition of number gestures based on a wireless surface EMG system
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Number gestures; Feature extraction; Classification
Unsupervised non-parametric kernel learning algorithm
Keywords: یادگیری چند هسته ای; Non-parametric kernel learning; Multiple kernel learning; Maximum margin clustering (MMC); Manifold regularized least-squares; Sparse eigen-decomposition
Selective multiple kernel learning for classification with ensemble strategy
Keywords: یادگیری چند هسته ای; Ensemble learning; Kernel evaluation; Multiple kernel learning; Selective multiple kernel learning; Fast selective multiple kernel learning
Dynamic customer lifetime value prediction using longitudinal data: An improved multiple kernel SVR approach
Keywords: یادگیری چند هسته ای; Data mining; Customer relationship management; Customer lifetime value; Dynamic multi-step-ahead prediction; Support vector machine; Multiple kernel learning
Localized algorithms for multiple kernel learning
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Support vector machines; Support vector regression; Classification; Regression; Selective attention
Enhanced representation and multi-task learning for image annotation
Keywords: یادگیری چند هسته ای; Image ranking; Image classification; Multiple kernel learning; Multi task learning; Bag-of-Words representation; Biased random sampling; ImageCLEF; Mutual information
Multiple kernel local Fisher discriminant analysis for face recognition
Keywords: یادگیری چند هسته ای; Face recognition; Dimensionality reduction; Local Fisher discriminant analysis (LFDA); Multiple kernel learning; Manifold learning
Surgical gesture classification from video and kinematic data
Keywords: یادگیری چند هسته ای; Surgical gesture classification; Time series classification; Dynamical system classification; Bag of features; Multiple kernel learning
Probabilistic and discriminative group-wise feature selection methods for credit risk analysis
Keywords: یادگیری چند هسته ای; Credit risk analysis; Feature selection; Probit classifier; Multiple kernel learning; Sparsity
Distributed customer behavior prediction using multiplex data: A collaborative MK-SVM approach
Keywords: یادگیری چند هسته ای; Customer relationship management; Behavior analysis; Customer churn prediction; Customer purchase prediction; Support vector machine; Multiple kernel learning
Incorporation of radius-info can be simple with SimpleMKL
Keywords: یادگیری چند هسته ای; Multiple kernel learning; Minimal enclosing ball; Kernel methods; Support vector machines; Radius margin bound
A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data
Keywords: یادگیری چند هسته ای; Data mining; Customer relationship management; Customer churn prediction; Support vector machine; Multiple kernel learning