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ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 6 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
MONET
2002
162views more  MONET 2002»
15 years 6 months ago
Multi-Sensor Context-Awareness in Mobile Devices and Smart Artifacts
The use of context in mobile devices is receiving increasing attention in mobile and ubiquitous computing research. In this article we consider how to augment mobile devices with a...
Hans-Werner Gellersen, Albrecht Schmidt, Michael B...
NECO
1998
168views more  NECO 1998»
15 years 6 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
TOSEM
2002
153views more  TOSEM 2002»
15 years 6 months ago
Automated abstraction of class diagrams
d Abstraction of Class Diagrams ALEXANDER EGYED Teknowledge Corporation Designers can easily become overwhelmed with details when dealing with large class diagrams. icle presents a...
Alexander Egyed
IJSNET
2008
138views more  IJSNET 2008»
15 years 6 months ago
Energy-efficient connected-coverage in wireless sensor networks
Abstract: This paper addresses the target coverage problem in wireless sensor networks. Communication and sensing consume energy, therefore efficient power management can extend ne...
Ionut Cardei, Mihaela Cardei