Products of experts

@misc{citeulike:1300309, abstract = {It is possible to combine multiple probabilistic models of the same data by multiplying the probabilities together and then renormalizing. This is a very ecient way to model high-dimensional data which simultaneously satises many dierent lowdimensional constraints. Each individual expert model can focus on giving high probability to data vectors that satisfy just one of the constraints. Data vectors that satisfy this one constraint but violate other constraints will be ruled out by their low...}, author = {Hinton, G. }, citeulike-article-id = {1300309}, keywords = {learning, statistics}, posted-at = {2007-05-16 16:19:07}, priority = {3}, title = {Products of experts}, url = {http://citeseer.ist.psu.edu/288645.html}, year = {1999} }

TY - GEN ID - citeulike:1300309 L3 - citeulike-article-id:1300309 TI - Products of experts N2 - It is possible to combine multiple probabilistic models of the same data by multiplying the probabilities together and then renormalizing. This is a very ecient way to model high-dimensional data which simultaneously satises many dierent lowdimensional constraints. Each individual expert model can focus on giving high probability to data vectors that satisfy just one of the constraints. Data vectors that satisfy this one constraint but violate other constraints will be ruled out by their low... KW - learning KW - statistics AU - Hinton, G PY - 1999/// UR - http://citeseer.ist.psu.edu/288645.html ER -