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PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
15 years 5 months ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas
87
Voted
JMLR
2010
132views more  JMLR 2010»
14 years 6 months ago
On the Impact of Kernel Approximation on Learning Accuracy
Kernel approximation is commonly used to scale kernel-based algorithms to applications containing as many as several million instances. This paper analyzes the effect of such appr...
Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
ASPLOS
2012
ACM
13 years 7 months ago
Comprehensive kernel instrumentation via dynamic binary translation
Dynamic binary translation (DBT) is a powerful technique that enables fine-grained monitoring and manipulation of an existing program binary. At the user level, it has been emplo...
Peter Feiner, Angela Demke Brown, Ashvin Goel
SSPR
2004
Springer
15 years 5 months ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini