Scalable Learning Approaches for Sum-Product-Cutset Networks
dc.contributor | Gogate, Vibhav | |
dc.date.accessioned | 2017-01-05T20:51:21Z | |
dc.date.accessioned | 2018-02-16T18:48:29Z | |
dc.date.available | 2017-01-05T20:51:21Z | |
dc.date.available | 2018-02-16T18:48:29Z | |
dc.date.created | 2017-01-05T20:51:21Z | |
dc.date.issued | 2016-12 | |
dc.description.abstract | ||
dc.identifier | http://hdl.handle.net/10735.1/5204 | |
dc.identifier.uri | http://hdl.handle.net/10735.1/5204 | |
dc.language | en | |
dc.subject | Graphical modeling (Statistics) | |
dc.subject | Set theory | |
dc.subject | Statistical matching | |
dc.subject | Probabilistic databases | |
dc.subject | Computer networks--Scalability | |
dc.title | Scalable Learning Approaches for Sum-Product-Cutset Networks | |
dc.type | Dissertation |