797 search results - page 18 / 160 » Bayesian Robot Programming |
COLT
1994
Springer
14 years 25 days ago
1994
Springer
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
AAAI
1997
13 years 10 months ago
1997
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
ILP
2007
Springer
14 years 2 months ago
2007
Springer
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
ACL
2012
11 years 11 months ago
2012
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...