Find link

language:

Find link is a tool written by Edward Betts.

searching for Matrix factorization (recommender systems) 9 found (29 total)

alternate case: matrix factorization (recommender systems)

Non-negative matrix factorization (7,780 words) [view diff] no match in snippet view article find links to article

chemometrics, audio signal processing, recommender systems, and bioinformatics. In chemometrics non-negative matrix factorization has a long history under the name

Gravity R&D (936 words) [view diff] no match in snippet view article find links to article

ALS-based matrix factorization for explicit and implicit feedback datasets", Proceedings of the fourth ACM conference on Recommender systems - Rec Sys

Fillia Makedon (584 words) [view diff] no match in snippet view article find links to article

algebra, sensor networks, algorithm visualization, bioinformatics, recommender systems, and human–robot interaction. She is Jenkins-Garrett Professor of

Boi Faltings (934 words) [view diff] no match in snippet view article find links to article

improving relational matrix factorization in recommender systems" (with Li Pu). In Proceedings of the 7th ACM Conference on Recommender Systems (pp. 41–48). ACM

Lester Mackey (864 words) [view diff] no match in snippet view article find links to article

expression modeling, low-rank matrix completion for recommender systems, robust matrix factorization for video surveillance, and concentration inequalities

Outline of machine learning (3,580 words) [view diff] no match in snippet view article find links to article

selection Mixture of experts Multiple kernel learning Non-negative matrix factorization Online machine learning Out-of-bag error Prefrontal cortex basal

Edward Y. Chang (2,571 words) [view diff] no match in snippet view article find links to article

Neural Networks. Through his research on PSVM, he demonstrated that matrix factorization can be used to distribute the solver of the Interior Point Method

Formal concept analysis (5,372 words) [view diff] no match in snippet view article find links to article

dimension (of the concept lattice) and has applications e.g. for Boolean matrix factorization. Given an object-attribute numerical data-table, the goal of biclustering

Machine learning (14,771 words) [view diff] no match in snippet view article find links to article

dictionary learning, independent component analysis, autoencoders, matrix factorization and various forms of clustering. Manifold learning algorithms attempt