The following pages link to word2vec (Q26873):
Displaying 50 items.
- Zero-shot visual recognition via bidirectional latent embedding (Q2193884) (← links)
- Propositionalization and embeddings: two sides of the same coin (Q2203327) (← links)
- Issues of stability and uniqueness of stochastic matrix factorization (Q2207513) (← links)
- Sim2vec: node similarity preserving network embedding (Q2215048) (← links)
- Assessment of text coherence by constructing the graph of semantic, lexical, and grammatical consistancy of phrases of sentences (Q2215871) (← links)
- Bonsai: diverse and shallow trees for extreme multi-label classification (Q2217402) (← links)
- Embedding-based silhouette community detection (Q2217405) (← links)
- Using error decay prediction to overcome practical issues of deep active learning for named entity recognition (Q2217437) (← links)
- Optimization for deep learning: an overview (Q2218095) (← links)
- Multi-target prediction: a unifying view on problems and methods (Q2218329) (← links)
- Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data (Q2218343) (← links)
- Attributed network embedding via subspace discovery (Q2218394) (← links)
- Topical network embedding (Q2218399) (← links)
- A comparative study of data-dependent approaches without learning in measuring similarities of data objects (Q2218403) (← links)
- \textsc{gat2vec}: representation learning for attributed graphs (Q2218429) (← links)
- Study on text representation method based on deep learning and topic information (Q2218519) (← links)
- A survey of word embeddings based on deep learning (Q2218533) (← links)
- TPNE: topology preserving network embedding (Q2225158) (← links)
- Incremental composition in distributional semantics (Q2236498) (← links)
- Classifying and completing word analogies by machine learning (Q2237152) (← links)
- Hyperbolic node embedding for temporal networks (Q2238334) (← links)
- Attention based adversarially regularized learning for network embedding (Q2238348) (← links)
- Dependency-based syntax-aware word representations (Q2238665) (← links)
- How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments (Q2240005) (← links)
- Evolution of Gaussian process kernels for machine translation post-editing effort estimation (Q2240712) (← links)
- Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks (Q2287719) (← links)
- Manifold regularized cross-modal embedding for zero-shot learning (Q2291767) (← links)
- Wasserstein index generation model: automatic generation of time-series index with application to economic policy uncertainty (Q2292829) (← links)
- Attention pooling-based convolutional neural network for sentence modelling (Q2293056) (← links)
- Story embedding: learning distributed representations of stories based on character networks (Q2303512) (← links)
- A survey on semi-supervised learning (Q2303675) (← links)
- Low-dimensional representation of genomic sequences (Q2311893) (← links)
- Joint detection of malicious domains and infected clients (Q2320564) (← links)
- Language independent sequence labelling for opinion target extraction (Q2321267) (← links)
- Distributional semantics of objects in visual scenes in comparison to text (Q2321307) (← links)
- Toward any-language zero-shot topic classification of textual documents (Q2321313) (← links)
- Analogy between concepts (Q2321339) (← links)
- Syntax-aware entity representations for neural relation extraction (Q2321344) (← links)
- Generating quantitative product profile using char-word CNNs (Q2322810) (← links)
- Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks (Q2328466) (← links)
- A primer on encoding models in sensory neuroscience (Q2407647) (← links)
- Cross-validation of matching correlation analysis by resampling matching weights (Q2418113) (← links)
- A type-driven vector semantics for ellipsis with anaphora using Lambek calculus with limited contraction (Q2425336) (← links)
- An acceleration of FFT-based algorithms for the match-count problem (Q2628276) (← links)
- Properties of vector embeddings in social networks (Q2633162) (← links)
- Relation constrained attributed network embedding (Q2660859) (← links)
- Graph deconvolutional networks (Q2662722) (← links)
- Semantic trajectory representation and retrieval via hierarchical embedding (Q2666757) (← links)
- An information-theoretic instance-based classifier (Q2666796) (← links)
- Quantifying and alleviating political bias in language models (Q2667847) (← links)
