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SIGSOFT
2007
ACM
16 years 3 months ago
Programming asynchronous layers with CLARITY
Asynchronous systems components are hard to write, hard to reason about, and (not coincidentally) hard to mechanically verify. In order to achieve high performance, asynchronous c...
Prakash Chandrasekaran, Christopher L. Conway, Jos...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 3 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 3 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
RECOMB
2005
Springer
16 years 3 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
POPL
2010
ACM
16 years 15 days ago
Static Determination of Quantitative Resource Usage for Higher-Order Programs
We describe a new automatic static analysis for determining upper-bound functions on the use of quantitative resources for strict, higher-order, polymorphic, recursive programs de...
Steffen Jost, Hans-Wolfgang Loidl, Kevin Hammond, ...