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JMLR
2010
130views more  JMLR 2010»
15 years 1 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
JUCS
2010
163views more  JUCS 2010»
15 years 1 months ago
UML Support for Designing Software Product Lines: The Package Merge Mechanism
: Software product lines have become a successful but challenging approach to software reuse. Some of the problems that hinder the adoption of this development paradigm are the con...
Miguel A. Laguna, José M. Marqués
KI
2010
Springer
15 years 1 months ago
eSLAM - Self Localisation and Mapping Using Embodied Data
Autonomous mobile robots have the potential to change our everyday life. Unresolved challenges which span a large spectrum of artificial intelligence research need to be answered t...
Jakob Schwendner, Frank Kirchner
EOR
2011
131views more  EOR 2011»
14 years 10 months ago
Personnel scheduling: Models and complexity
Due to its complexity, its challenging features, and its practical relevance, personnel scheduling has been heavily investigated in the last few decades. However, there is a relati...
Peter Brucker, Rong Qu, Edmund K. Burke
CVPR
2012
IEEE
13 years 9 months ago
Keystroke dynamics for user authentication
In this paper we investigate the problem of user authentication using keystroke biometrics. A new distance metric that is effective in dealing with the challenges intrinsic to key...
Yu Zhong, Yunbin Deng, Anil K. Jain