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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 2 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
ILP
2005
Springer
15 years 8 months ago
Strategies to Parallelize ILP Systems
Abstract. It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to find valuable models (theories). The problem is specially ...
Nuno A. Fonseca, Fernando M. A. Silva, Rui Camacho
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
15 years 29 days ago
Learning physically-instantiated game play through visual observation
Abstract— We present an integrated vision and robotic system that plays, and learns to play, simple physically-instantiated board games that are variants of TIC TAC TOE and HEXAP...
Andrei Barbu, Siddharth Narayanaswamy, Jeffrey Mar...
GIS
1992
ACM
15 years 6 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
CAEPIA
2003
Springer
15 years 6 months ago
Embracing Causality in Inducing the Effects of Actions
Abstract. The following problem will be considered: from scattered examples on the behavior of a dynamic system induce a description of the system. For the induced description to b...
Ramón P. Otero