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» Learning for Dynamic Subsumption
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136
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WWW
2004
ACM
16 years 4 months ago
Personalization in distributed e-learning environments
Personalized support for learners becomes even more important, when e-Learning takes place in open and dynamic learning and information networks. This paper shows how to realize p...
Peter Dolog, Nicola Henze, Wolfgang Nejdl, Michael...
120
Voted
RSFDGRC
1999
Springer
135views Data Mining» more  RSFDGRC 1999»
15 years 7 months ago
The Iterated Version Space Learning
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Jianna Jian Zhang, Nick Cercone
110
Voted
DIS
2006
Springer
15 years 7 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
113
Voted
LREC
2008
89views Education» more  LREC 2008»
15 years 5 months ago
Ontology Learning and Semantic Annotation: a Necessary Symbiosis
Semantic annotation of text requires the dynamic merging of linguistically structured information and a "world model", usually represented as a domain-specific ontology....
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
118
Voted
NECO
2002
105views more  NECO 2002»
15 years 3 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...