Keywords: یادگیری نمایندگی; LCM; lubricant condition monitoring; CBM; condition based maintenance; RUL; remaining useful life; CdM; condition monitoring; AI; artificial intelligence; ISO; international standards organization; API; American Petroleum Institute; OEM; Original Equipmen
مقالات ISI یادگیری نمایندگی (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: یادگیری نمایندگی; Representation learning; Network embedding; Community detection; Skip-gram model; Link prediction;
Keywords: یادگیری نمایندگی; Zero shot learning; Large margin; Aggregation; Representation learning;
Keywords: یادگیری نمایندگی; Representation learning; Patient representations; Model interpretability; Natural language processing; Unsupervised learning;
Keywords: یادگیری نمایندگی; Hydraulic; Fault detection; Classification; Representation learning; Nonlinear mapping;
Keywords: یادگیری نمایندگی; Whole slide microscopy image analysis; Computer aided diagnosis (CAD) systems; Histopathological image; Breast cancer diagnosis; Domain adaptation; Representation learning;
Keywords: یادگیری نمایندگی; Multi-modal similarity; Attention mechanism; Representation learning; Multi-view; Neural network;
Keywords: یادگیری نمایندگی; Action recognition; Representation learning; Coherence analysis; Learning-to-rank; Multiple kernel learning;
Keywords: یادگیری نمایندگی; Sentiment analysis; Aspect based sentiment analysis; Representation learning; Multiple layer representation; Compositional vector models; Word embeddings;
Keywords: یادگیری نمایندگی; Multi-view data; Image annotation; Representation learning; Subspace learning; Structure preserving; 00-01; 99-00;
Keywords: یادگیری نمایندگی; Adaptive threshold; Fault detection; Global model; Mode identification; Representation learning;
Keywords: یادگیری نمایندگی; Kernel learning; Multilayer extreme learning machine (ML-ELM); Empirical kernel map (EKM); Representation learning; stacked autoencoder (SAE);
Keywords: یادگیری نمایندگی; Text representation; Knowledge base; Representation learning; Network embedding;
Keywords: یادگیری نمایندگی; Representation learning; Knowledge graph embedding; Knowledge graph;
Keywords: یادگیری نمایندگی; Drug-drug interaction prediction; Positive-unlabeled learning; Meta-learning; Representation learning;
Keywords: یادگیری نمایندگی; Multi-view learning; Image embedding; Representation learning; Stacked autoencoder;
Keywords: یادگیری نمایندگی; Convolutional auto-encoder; Representation learning; Multi-view learning; Multimodal similarity learning;
Keywords: یادگیری نمایندگی; Similarity learning; Representation learning; Unsupervised learning; Siamese networks; Common variable;
Keywords: یادگیری نمایندگی; Knowledge graph; Representation learning; Entity description; Knowledge graph completion; Entity type classification;
Keywords: یادگیری نمایندگی; Spam review detection; Opinion spam; Representation learning;
Keywords: یادگیری نمایندگی; Representation learning; Line segments; Deep geometric representation; Multi-stream deep learning; Image classification;
Keywords: یادگیری نمایندگی; Diversity regularizations; Soft orthogonality; Learning to match; Multimodal retrieval; Representation learning; Approximate nearest neighbors;
Keywords: یادگیری نمایندگی; Deceptive opinion spam; Discrete features; Convolutional neural network; Recurrent neural network; Representation learning;
Keywords: یادگیری نمایندگی; Representation learning; Deep learning; Convolutional networks; Semi-supervised learning; Domain adaptation; Noisy data;
Keywords: یادگیری نمایندگی; Unsupervised domain adaptation; Predictive function; Shared subspace; Representation learning; Image classification;
Keywords: یادگیری نمایندگی; Transfer learning; Representation learning; Subspace learning; Kernel learning; Domain adaptation;
Keywords: یادگیری نمایندگی; Unsupervised speech processing; Representation learning; Segmentation; Clustering; Language acquisition;
Keywords: یادگیری نمایندگی; Sentiment classification; Representation learning; Network embedding; Product reviews; 00-01; 99-00;
Keywords: یادگیری نمایندگی; Representation Learning; Compositional boosting; Dictionary learning; Image Classification
Keywords: یادگیری نمایندگی; Representation learning; Feature learning; Deep learning;
Keywords: یادگیری نمایندگی; Contextualized semantics; Descriptive terms; Siamese architecture; Out of vocabulary; Semantic priming; Representation learning
Keywords: یادگیری نمایندگی; Extreme learning machine; Deep learning; Representation learning; Stacked ELMs; Stacked generalization; DrELM
Keywords: یادگیری نمایندگی; Representation learning; Competition; Dataset;
Keywords: یادگیری نمایندگی; Domain adaptation; Source domain; Target domain; Representation learning; Image classification;
Keywords: یادگیری نمایندگی; Term-weighting learning; Genetic programming; Text mining; Representation learning; Bag of words
Keywords: یادگیری نمایندگی; Digital pathology; Representation learning; Unsupervised feature learning; Basal cell carcinoma
Keywords: یادگیری نمایندگی; Agent learning; Representation learning; Student modeling
Keywords: یادگیری نمایندگی; Information storage and retrieval; Natural language processing; Artificial intelligence; Word embeddings; Representation learning
Keywords: یادگیری نمایندگی; Multi-view clustering; Latent intact space; View-insufficiency; Representation learning;
Keywords: یادگیری نمایندگی; Representation learning; Equivariant representations; Invariant representations; Dictionary learning; Convolutional neural networks; Regularization; Data transformations;
Multi-modal local receptive field extreme learning machine for object recognition
Keywords: یادگیری نمایندگی; Representation learning; Multi-modal; Local receptive field; Extreme learning machine;
Hierarchical representation learning using spherical k-means for segmentation-free word spotting
Keywords: یادگیری نمایندگی; Segmentation-free and training-free word spotting; Handwriting representation; Representation learning; VLAD representation;
Prediction task guided representation learning of medical codes in EHR
Keywords: یادگیری نمایندگی; Representation learning; Word embedding; Natural language processing; Medical code; Electronic health records; Healthcare resource utilization;
Representation learning using event-based STDP
Keywords: یادگیری نمایندگی; Representation learning; Spiking neural networks; Quantization; STDP; Bio-inspired model;
Discriminatively boosted image clustering with fully convolutional auto-encoders
Keywords: یادگیری نمایندگی; Image clustering; Fully convolutional auto-encoder; Representation learning; Discriminatively boosted clustering;
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
Keywords: یادگیری نمایندگی; Autoencoders; Feature fusion; Feature extraction; Representation learning; Deep learning; Machine learning;
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
Keywords: یادگیری نمایندگی; Interpretability; Machine learning; Representation learning;
The deep kernelized autoencoder
Keywords: یادگیری نمایندگی; Autoencoders; Kernel methods; Deep learning; Representation learning;
Feature learning and change feature classification based on deep learning for ternary change detection in SAR images
Keywords: یادگیری نمایندگی; Ternary change detection; Deep learning; Synthetic aperture radar; Representation learning; Sparse autoencoder; Convolutional neural networks;
Representation learning via Dual-Autoencoder for recommendation
Keywords: یادگیری نمایندگی; Matrix factorization; Dual-Autoencoder; Recommendation; Representation learning;