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DCC
2009
IEEE
16 years 7 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 7 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
EDBT
2006
ACM
127views Database» more  EDBT 2006»
16 years 6 months ago
Progressive Query Optimization for Federated Queries
Federated queries are regular relational queries accessing data on one or more remote relational or non-relational data sources, possibly combining them with tables stored in the ...
Stephan Ewen, Holger Kache, Volker Markl, Vijaysha...
CGO
2007
IEEE
16 years 1 months ago
Ubiquitous Memory Introspection
Modern memory systems play a critical role in the performance of applications, but a detailed understanding of the application behavior in the memory system is not trivial to atta...
Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, ...