18 citations · 31 across the 3 of their papers we have counts for
3 papers
stat.ML2016
BaTFLED: Bayesian Tensor Factorization Linked to External Data
Nathan H Lazar, Mehmet Gönen, Kemal Sönmez
The vast majority of current machine learning algorithms are designed to predict single responses or a vector of responses, yet many types of response are more naturally organized…
stat.ML2012★ 13 cited
Kernelized Bayesian Matrix Factorization
Mehmet Gönen, Suleiman A. Khan, Samuel Kaski
We extend kernelized matrix factorization with a fully Bayesian treatment and with an ability to work with multiple side information sources expressed as different kernels. Kernel…
cs.LG2012★ 18 cited
Bayesian Efficient Multiple Kernel Learning
Mehmet Gonen
Multiple kernel learning algorithms are proposed to combine kernels in order to obtain a better similarity measure or to integrate feature representations coming from different dat…