An Analysis of Tensor Models for Learning on Structured Data

No abstract is available for this paper.

• Publication year

  2013

• Venue

  ECML/PKDD

• Publication date

  2013-09-23

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/978-3-642-40991-2_18
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A revenue sharing mechanism for federated search and advertising

  2012cited by this paper
• A latent factor model for highly multi-relational data

  2012cited by this paper
• Factorizing YAGO: scalable machine learning for linked data

  2012cited by this paper
• Statistical Performance of Convex Tensor Decomposition

  2011cited by this paper
• Learning Structured Embeddings of Knowledge Bases

  2011cited by this paper
• A Three-Way Model for Collective Learning on Multi-Relational Data

  2011influential reference
• Proceedings of the 28th International Conference on Machine Learning

  2011cited by this paper
• Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data

  2011cited by this paper
• Tensor completion and low-n-rank tensor recovery via convex optimization

  2011cited by this paper
• Multivariate Prediction for Learning on the Semantic Web

  2010cited by this paper
• Factorizing personalized Markov chains for next-basket recommendation

  2010cited by this paper
• Estimation of low-rank tensors via convex optimization

  2010cited by this paper
• Tensor Completion for Estimating Missing Values in Visual Data

  2009cited by this paper
• Matrix Completion With Noise

  2009cited by this paper
• Tensor Decompositions and Applications

  2009cited by this paper
• Exact Matrix Completion via Convex Optimization

  2008cited by this paper
• Rademacher Complexity Bounds for Non-I.I.D. Processes

  2008cited by this paper
• Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness

  2008cited by this paper
• Temporal Analysis of Semantic Graphs Using ASALSAN

  2007cited by this paper
• Modeling Appearances with Low-Rank SVM

  2007cited by this paper
• Learning with matrix factorizations

  2004cited by this paper
• Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices

  2004influential reference
• Propositionalization approaches to relational data mining

  2001cited by this paper
• Fundamentals of Artificial Neural Networks

  1996cited by this paper
• An introduction to tensor products with applications to multiway data analysis

  1995cited by this paper
• PARAFAC: parallel factor analysis

  1994cited by this paper
• Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition

  1970cited by this paper
• Lower bounds for approximation by nonlinear manifolds

  1968cited by this paper
• Noname manuscript No. (will be inserted by the editor) Context-aware Tensor Decomposition for Relation Prediction in Social Networks

  year unknowncited by this paper

• Multi-task Knowledge Graph Representations via Residual Functions

  2022cites this paper
• Lower and Upper Bounds on the VC-Dimension of Tensor Network Models

  2021influential citation
• Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models

  2021influential citation
• A proposal of architecture for integration and uniform use of hybrid SQL/NoSQL database components

  2020cites this paper
• Simple and Efficient Computational Intelligence Strategies for Effective Collaborative Decisions

  2019cites this paper
• Variational Quantum Circuit Model for Knowledge Graph Embedding

  2019cites this paper
• Research on a Mixed Gas Classification Algorithm Based on Extreme Random Tree

  2019cites this paper
• Generalization Bounds for Knowledge Graph Embedding (When Trained by Maximum Likelihood)

  2019cites this paper
• A fresh approach for hybrid SQL/NoSQL database design based on data structuredness

  2018cites this paper
• Tensor-Based Ontology Data Processing for Semantic Service Matchmaking

  2018cites this paper
• Space Information Networks

  2017cites this paper
• Tensor-Based Syntactic Feature Engineering for Ontology Instance Matching

  2017cites this paper
• Remote Sensing Image Intelligent Interpretation Based on Knowledge Graph

  2017cites this paper
• Tensor-Based Modeling of Temporal Features for Big Data CTR Estimation

  2017influential citation
• A tensor perspective on weighted automata, low-rank regression and algebraic mixtures

  2016cites this paper
• Knowledge Graph Completion with Adaptive Sparse Transfer Matrix

  2016cites this paper
• Low-Rank Regression with Tensor Responses

  2016cites this paper
• Knowledge Graph Embedding via Dynamic Mapping Matrix

  2015cites this paper
• Application of the Tensor-Based Recommendation Engine to Semantic Service Matchmaking

  2015cites this paper
• Multilinear Filtering Based on a Hierarchical Structure of Covariance Matrices

  2015cites this paper
• Tensor factorization for relational learning

  2013cites this paper
• Matchmaking of bidders and public contracts using linked open data

  2013cites this paper