The following pages link to word2vec (Q26873):
Displaying 50 items.
- Comprehensive analysis of embeddings and pre-training in NLP (Q2668408) (← links)
- A hybrid inference system for improved curvature estimation in the level-set method using machine learning (Q2671404) (← links)
- A hybrid objective function for robustness of artificial neural networks -- estimation of parameters in a mechanical system (Q2672200) (← links)
- Removing algorithmic discrimination (with minimal individual error) (Q2672613) (← links)
- An explainable attention network for fraud detection in claims management (Q2673178) (← links)
- The flowing nature matters: feature learning from the control flow graph of source code for bug localization (Q2673313) (← links)
- Towards interpreting deep neural networks via layer behavior understanding (Q2673336) (← links)
- Loss amount prediction from textual data using a double GLM with shrinkage and selection (Q2677931) (← links)
- Rationalizing predictions by adversarial information calibration (Q2680803) (← links)
- Sequence graphs realizations and ambiguity in language models (Q2695282) (← links)
- Eigenwords: spectral word embeddings (Q2788396) (← links)
- Utilizing Vector Models for Automatic Text Lemmatization (Q2794387) (← links)
- Megaman: scalable manifold learning in Python (Q2834476) (← links)
- Natural Language Processing, Moving from Rules to Data (Q2988808) (← links)
- A tale of three probabilistic families: Discriminative, descriptive, and generative models (Q3121222) (← links)
- Meaning as Use: From Wittgenstein to Google’s Word2vec (Q3296981) (← links)
- Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach (Q3386793) (← links)
- Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data (Q3391173) (← links)
- (Q4558187) (← links)
- Neural Networks and Deep Learning (Q4569250) (← links)
- Machine Learning for Text (Q4569273) (← links)
- (Q4636996) (← links)
- (Q4637038) (← links)
- A social-event based approach to sentiment analysis of identities and behaviors in text (Q4963366) (← links)
- (Q4969121) (← links)
- (Q4969182) (← links)
- Recovering Structured Probability Matrices (Q4993314) (← links)
- Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization (Q5004351) (← links)
- Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Q5009685) (← links)
- RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved (Q5009696) (← links)
- SFV-CNN: Deep Text Sentiment Classification with Scenario Feature Representation (Q5014699) (← links)
- (Q5019302) (← links)
- (Q5019675) (← links)
- Graph Kernels: A Survey (Q5026222) (← links)
- Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Q5026264) (← links)
- Parametric UMAP Embeddings for Representation and Semisupervised Learning (Q5034460) (← links)
- Dissecting word embeddings and language models in natural language processing (Q5035205) (← links)
- Global Graph Curvature (Q5041773) (← links)
- (Q5053304) (← links)
- (Q5053319) (← links)
- (Q5054593) (← links)
- FCA2VEC: Embedding Techniques for Formal Concept Analysis (Q5054975) (← links)
- Leveraging Closed Patterns and Formal Concept Analysis for Enhanced Microblogs Retrieval (Q5054982) (← links)
- Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods (Q5066434) (← links)
- GEOGRAPHIC RATEMAKING WITH SPATIAL EMBEDDINGS (Q5067876) (← links)
- Multiple analogical proportions (Q5069647) (← links)
- (Q5075744) (← links)
- Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning (Q5076316) (← links)
- Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques (Q5076318) (← links)
- FFCI: A Framework for Interpretable Automatic Evaluation of Summarization (Q5076376) (← links)
