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DCC
2009
IEEE
15 years 10 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»
15 years 10 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»
15 years 10 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
84
Voted
EDBT
2006
ACM
127views Database» more  EDBT 2006»
15 years 9 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...
63
Voted
CGO
2007
IEEE
15 years 4 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, ...