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» Binding-Time Analysis for Standard ML
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NIPS
2008
13 years 7 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
DOCENG
2005
ACM
13 years 8 months ago
Enhancing composite digital documents using XML-based standoff markup
Document representations can rapidly become unwieldy if they try to encapsulate all possible document properties, ranging tract structure to detailed rendering and layout. We pres...
Peter L. Thomas, David F. Brailsford
POPL
2008
ACM
14 years 6 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume
LFP
1992
140views more  LFP 1992»
13 years 7 months ago
Global Tagging Optimization by Type Inference
Tag handling accounts for a substantial amount of execution cost in latently typed languages such as Common LISP and Scheme, especially on architectures that provide no special ha...
Fritz Henglein