نتایج جستجو برای: order latent variables insight
تعداد نتایج: 1331383 فیلتر نتایج به سال:
Partially inspired by successful applications of variational recurrent neural networks, we propose a novel variational recurrent neural machine translation (VRNMT) model in this paper. Different from the variational NMT, VRNMT introduces a series of latent random variables to model the translation procedure of a sentence in a generative way, instead of a single latent variable. Specifically, th...
Discovering interesting associations in discrete databases is a key task in data mining. Association rules and graphical models among observed variables are standard tools in this analysis, but in problems where associations are due to hidden common causes not recorded in the database, the resulting models are overly complex and offer no picture of the causes of such dependencies. For instance,...
Here we propose a novel model family with the objective of learning to disentangle the factors of variation in data. Our approach is based on the spike-and-slab restricted Boltzmann machine which we generalize to include higher-order interactions among multiple latent variables. Seen from a generative perspective, the multiplicative interactions emulates the entangling of factors of variation. ...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید