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WWW
2004
ACM
16 years 7 months ago
Dealing with different distributions in learning from
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
Xiaoli Li, Bing Liu
WWW
2004
ACM
16 years 7 months ago
KnowledgeTree: a distributed architecture for adaptive e-learning
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Peter Brusilovsky
ICALT
2006
IEEE
16 years 20 days ago
Learning about and through Empirical Modelling
Empirical Modelling is a body of principles and tools that has been developed for the construction of interactive environments. Our previous research has indicated respects in whi...
Russell Boyatt, Antony Harfield, Meurig Beynon
185
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HCW
1999
IEEE
15 years 11 months ago
Adaptive Distributed Applications on Heterogeneous Networks
Distributed applications execute in environments that can include different network architectures as well as a range of compute platforms. Furthermore, these resources are shared ...
Thomas R. Gross, Peter Steenkiste, Jaspal Subhlok
ICDE
2009
IEEE
164views Database» more  ICDE 2009»
16 years 8 months ago
Efficient and Robust Database Support for Data-Intensive Applications in Dynamic Environments
Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...
Jon Olav Hauglid, Kjetil Nørvåg, Norv...