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NIPS
1997
15 years 7 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
ICIAP
1997
ACM
15 years 9 months ago
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
Anil C. Kokaram, Simon J. Godsill
ESANN
2007
15 years 7 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
AIEDAM
2002
100views more  AIEDAM 2002»
15 years 5 months ago
Drawing marks, acts, and reacts: Toward a computational sketching interface for architectural design
Architects use sketching and diagramming in their design process to perform functional reasoning, formal arrangements, analogy transfer, structure mapping, and knowledge acquisiti...
Ellen Yi-Luen Do
ACL
1998
15 years 7 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang