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» Rough Set Method Based on Multi-Granulations
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JMLR
2002
111views more  JMLR 2002»
13 years 7 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
JCIT
2007
107views more  JCIT 2007»
13 years 7 months ago
A New Approach to Computing Weighted Attributes Values in Incomplete Information Systems
The Rough Sets theory has been conceived to deal with inexact, uncertain or vague knowledge in Information systems. The article is devoted to propose notions including the general...
Tian Hong, Wang Xiukun, Henryk Rybinski
RSEISP
2007
Springer
14 years 1 months ago
Interpreting Low and High Order Rules: A Granular Computing Approach
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
Yiyu Yao, Bing Zhou, Yaohua Chen
AAAI
1993
13 years 8 months ago
On the Adequateness of the Connection Method
Roughly speaking, adequatness is the property of a theorem proving method to solve simpler problems faster than more difficult ones. Automated inferencing methods are often not ad...
Antje Beringer, Steffen Hölldobler
IROS
2007
IEEE
188views Robotics» more  IROS 2007»
14 years 1 months ago
Behavior maps for online planning of obstacle negotiation and climbing on rough terrain
Abstract— To autonomously navigate on rough terrain is a challenging problem for mobile robots, requiring the ability to decide whether parts of the environment can be traversed ...
Christian Dornhege, Alexander Kleiner