4930 search results - page 168 / 986 » Learning minimal abstractions |
89
Voted
IROS
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
121
click to vote
ECAI
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
85
Voted
AAAI
1994
15 years 2 months ago
1994
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
97
Voted
ICANN
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
110
Voted
FMSD
2008
15 years 27 days ago
2008
Abstract Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically base...