19936 search results - page 29 / 3988 » Inductive process modeling |
NIPS
2008
13 years 8 months ago
2008
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
ACL
2008
13 years 8 months ago
2008
The traditional mention-pair model for coreference resolution cannot capture information beyond mention pairs for both learning and testing. To deal with this problem, we present ...
ER
2004
Springer
14 years 23 days ago
2004
Springer
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
ACL
2004
13 years 8 months ago
2004
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
ICTAI
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...