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» Adaptive Learning from Evolving Data Streams
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216
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Book
361views
17 years 24 days ago
Introduction to Statistical Signal Processing
"A random or stochastic process is a mathematical model for a phenomenon that evolves in time in an unpredictable manner from the viewpoint of the observer. The phenomenon m...
R.M. Gray
114
Voted
UIST
1994
ACM
15 years 7 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
147
Voted
VLDB
2004
ACM
227views Database» more  VLDB 2004»
15 years 8 months ago
Approximate NN queries on Streams with Guaranteed Error/performance Bounds
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhan...
141
Voted
JIIS
2002
114views more  JIIS 2002»
15 years 3 months ago
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
Ata Kabán, Mark Girolami
152
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MTA
2011
219views Hardware» more  MTA 2011»
14 years 10 months ago
Network-adaptive autonomic transcoding algorithm for seamless streaming media service of mobile clients
As a result of improvements in wireless communication technologies, a multimedia data streaming service can now be provided for mobile clients. Since mobile devices have low comput...
Dongmahn Seo, Inbum Jung