Complex-valued embeddings of generic proximity data

Keyphrases

• Proximity Data 100%
• Machine Learning Techniques 66%
• Inner Product 66%
• Similarity Measure 66%
• Machine Learning Algorithms 66%
• Dissimilarity Measure 66%
• Fixed-length 66%
• Further Processing 33%
• Invalid 33%
• Full Information 33%
• Vector Encoding 33%
• N-gram 33%
• Non-metricity 33%
• Hilbert Space 33%
• Traditional Techniques 33%
• Supervised Learning 33%
• Embedding Method 33%
• Krein Space 33%
• Mathematical Properties 33%
• Euclidean Distance 33%
• Generalization Bounds 33%
• Generic View 33%
• Convergence Problem 33%
• Equal Length 33%
• Modeling Algorithm 33%
• Complex-valued Data 33%
• Prototype-based Learning 33%
• Vector Embedding 33%
• Numerical Vector 33%
• Extension of Use 33%
• Earth Mover's Distance 33%
• Proximity-based 33%
• Information Preserving 33%
• Hilbertian 33%

Mathematics

• Inner Product 100%
• Input Data 100%
• Hilbert Space 50%
• Euclidean Distance 50%
• Krein Space 50%
• Similarity Measure 50%
• Convergence Problem 50%
• Length Vector 50%
• Modeling Algorithm 50%
• Equal Length 50%

Computer Science

• Proximity Data 100%
• Machine Learning Algorithm 66%
• Dissimilarity Measure 66%
• Machine Learning 66%
• Learning System 66%
• Hilbert Space 33%
• Supervised Learning 33%
• Euclidean Distance 33%
• Mathematical Property 33%
• Modeling Algorithm 33%