no code implementations • 18 Aug 2020 • Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang
In this paper, we introduce structure learning for autoencoder recommenders by taking advantage of the inherent item groups present in the collaborative filtering domain.
no code implementations • 6 Feb 2013 • Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang
Most exact algorithms for general partially observable Markov decision processes (POMDPs) use a form of dynamic programming in which a piecewise-linear and convex representation of one value function is transformed into another.