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APIN
2002
90views more  APIN 2002»
14 years 11 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
CCR
2004
119views more  CCR 2004»
14 years 11 months ago
Collecting the internet AS-level topology
At the inter-domain level, the Internet topology can be represented by a graph with Autonomous Systems (ASes) as nodes and AS peerings as links. This AS-level topology graph has b...
Beichuan Zhang, Raymond A. Liu, Daniel Massey, Lix...
CN
2004
114views more  CN 2004»
14 years 11 months ago
Representing the Internet as a succinct forest
Effective placement of resources used to support distributed services in the Internet depends on an accurate representation of Internet topology and routing. Representations of au...
Jim Gast, Paul Barford
CONNECTION
2004
94views more  CONNECTION 2004»
14 years 11 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
FUIN
2000
109views more  FUIN 2000»
14 years 11 months ago
Building Knowledge Scouts Using KGL Metalanguage
Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
Ryszard S. Michalski, Kenneth A. Kaufman