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ICML
2009
IEEE
16 years 3 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
TIP
2008
128views more  TIP 2008»
15 years 2 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
PR
2007
104views more  PR 2007»
15 years 2 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
121
Voted
EDBT
2004
ACM
187views Database» more  EDBT 2004»
16 years 2 months ago
Hierarchical In-Network Data Aggregation with Quality Guarantees
Earlier work has demonstrated the effectiveness of in-network data aggregation in order to minimize the amount of messages exchanged during continuous queries in large sensor netwo...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
91
Voted
EDBT
2008
ACM
99views Database» more  EDBT 2008»
16 years 2 months ago
Querying time-series streams
Index trees created using distance based indexing are difficult to maintain online since the distance function involved is often costly to compute. This problem is intensified whe...
Vivekanand Gopalkrishnan