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JIFS
2007
82views more  JIFS 2007»
15 years 6 months ago
Anomaly detection in mobile communication networks using the self-organizing map
Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. In this paper we propose a...
Rewbenio A. Frota, Guilherme De A. Barreto, Jo&ati...
IJON
2002
72views more  IJON 2002»
15 years 6 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen
ACL
2010
15 years 4 months ago
Reading between the Lines: Learning to Map High-Level Instructions to Commands
In this paper, we address the task of mapping high-level instructions to sequences of commands in an external environment. Processing these instructions is challenging--they posit...
S. R. K. Branavan, Luke S. Zettlemoyer, Regina Bar...
ISVC
2007
Springer
16 years 29 days ago
Direct Extraction of Normal Mapped Meshes from Volume Data
Abstract. We describe a method of directly extracting a simplified contour surface along with detailed normal maps from volume data in one fast and integrated process. A robust du...
Mark Barry, Zoë J. Wood
AAAI
2006
15 years 8 months ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone