890 search results - page 19 / 178 » Learning a Generative Model for Structural Representations |
ICAIL
1995
ACM
13 years 11 months ago
1995
ACM
In this paper, we describe which roles deep structures of law play in (automatic) drafting legislation. Deep structures contain a formal description of the intended normative effe...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
JMLR
2010
13 years 2 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
UAI
1996
13 years 8 months ago
1996
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...