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» Analysis and Application of Adaptive Sampling
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CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
KCAP
2011
ACM
12 years 10 months ago
On the role of user-generated metadata in audio visual collections
Recently, various crowdsourcing initiatives showed that targeted efforts of user communities result in massive amounts of tags. For example, the Netherlands Institute for Sound a...
Riste Gligorov, Michiel Hildebrand, Jacco van Osse...
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
14 years 8 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
GECCO
2009
Springer
14 years 2 months ago
On the scalability of XCS(F)
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...
DATE
2007
IEEE
111views Hardware» more  DATE 2007»
14 years 1 months ago
Cost-aware capacity optimization in dynamic multi-hop WSNs
Low energy consumption and load balancing are required for enhancing lifetime at Wireless Sensor Networks (WSN). In addition, network dynamics and different delay, throughput, and...
Jukka Suhonen, Mikko Kohvakka, Mauri Kuorilehto, M...