This book covers all about tensor factorization in a generalized way. Generalization is accomplished by use of various divergence functions as well as different hidden structures. The divergence functions are generalized by the beta divergences that are connected to the Tweedie Models. The hidden structure is generalized by use of invented abstract factorization notation. Various learning algorithms including coupled tensors are, then, derived accordingly.
|Author||Yusuf Kenan Yılmaz|
|Number of Pages||244|
|Country of Manufacture||India|
|Product Brand||LAP LAMBERT Academic Publishing|
|Product Packaging Info||Box|
|In The Box||1 Piece|
|Product First Available On ClickOnCare.com||2015-10-08 00:00:00|