Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering Alexandros Karatzoglou Xavier Amatriain

Source URL: www.nuriaoliver.com

• Matrix theory
• Recommender systems
• Collaboration
• Linear algebra
• Collaborative filtering
• Singular value decomposition
• Tensor
• Higher-order singular value decomposition
• Matrix
• Personalization
• Machine learning
• Non-negative matrix factorization

Logistic Tensor Factorization for Multi-Relational Data

Source URL: www.dbs.ifi.lmu.de

Tensor Factorization for Multi-Relational Learning Maximilian Nickel1 and Volker Tresp2 1 2

Source URL: www.dbs.ifi.lmu.de

Inspector/Executor Load Balancing Algorithms for Block-Sparse Tensor Contractions 1 Ozog , 2 Hammond ,

Source URL: nic.uoregon.edu

• Computing
• Parallel computing
• NWChem
• Load balancing
• Multi-core processor
• Partition
• Computer cluster

Structural Geology Observations Derived From Full Tensor Gravity Gradiometry Over Rift Systems, #).

Source URL: www.searchanddiscovery.com

Low-overhead Load-balanced Scheduling for Sparse Tensor Computations

Source URL: www.ieee-hpec.org

Hans KnutssonCurriculum Vitae

Source URL: www.imt.liu.se

• Neuroimaging
• Magnetic resonance imaging
• Neuroscience
• Medicine
• Medical imaging
• Computer vision
• Vision
• Tensor
• Diffusion MRI
• Medical image computing
• Knutsson
• Image analysis

Tensor Valuations and Their Local Versions Daniel Hug and Rolf Schneider Abstract The intrinsic volumes, recalled in the previous chapter, provide an array of size measurements for a convex body, one for each integer deg

Source URL: home.mathematik.uni-freiburg.de

Towards a matrix-oriented strided interface in OpenSHMEM Jeff R. Hammond Extreme Scalability Group and Parallel Computing Lab Intel Corporation

Source URL: nic.uoregon.edu

• Computing
• Software engineering
• Computer programming
• Data types
• Parallel computing
• Application programming interfaces
• SHMEM
• Global Arrays
• Const
• Matrix
• Tensor
• Array programming

1 The decomposition of the space of “curvature operators”. Let M be an n-dimensional Riemannian manifold with metric tensor h:::; :::i

Source URL: www.math.ucsd.edu