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» Adaptive Learning from Evolving Data Streams
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INFOCOM
2007
IEEE
15 years 7 months ago
Multicast Scheduling in Cellular Data Networks
— Multicast is an efficient means of transmitting the same content to multiple receivers while minimizing network resource usage. Applications that can benefit from multicast s...
Hyungsuk Won, Han Cai, Do Young Eun, Katherine Guo...
FLAIRS
2003
15 years 2 months ago
Hybrid Intelligence for Driver Assistance
We report on our on-going effort to build an adaptive driver support system, Driver AdvocateTM , merging various AI techniques, in particular, agents, ontology, production systems...
Chung Hee Hwang, Noel Massey, Bradford W. Miller, ...
103
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IDA
2002
Springer
15 years 11 days ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
ADAPTIVE
2007
Springer
15 years 6 months ago
Semantic Web Technologies for the Adaptive Web
Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a...
Peter Dolog, Wolfgang Nejdl
115
Voted
SASO
2008
IEEE
15 years 7 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...