890 search results - page 109 / 178 » Learning a Generative Model for Structural Representations |
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
AAAI
2008
13 years 11 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
NIPS
1993
13 years 10 months ago
1993
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
ACL
2007
13 years 10 months ago
2007
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...