278 search results - page 11 / 56 » Learning spatial concepts from RatSLAM representations |
AAAI
2011
13 years 9 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
ER
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. The modelling of landscape environment is a cognitive activity, that still requires novel kinds of spatial representations. This paper introduces a structural categorisat...
76
Voted
ILP
2005
Springer
15 years 3 months ago
2005
Springer
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
86
Voted
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
100
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KDD
1995
ACM
15 years 1 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...