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PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
15 years 3 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
JMLR
2010
132views more  JMLR 2010»
14 years 4 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 5 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
65
Voted
SSPR
2004
Springer
15 years 3 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