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VLDB
2001
ACM
190views Database» more  VLDB 2001»
15 years 11 months ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
SIGMETRICS
1993
ACM
123views Hardware» more  SIGMETRICS 1993»
15 years 11 months ago
Effectiveness of Trace Sampling for Performance Debugging Tools
Recently there has been a surge of interest in developing performance debugging tools to help programmers tune their applications for better memory performance [2, 4, 10]. These t...
Margaret Martonosi, Anoop Gupta, Thomas E. Anderso...
EMNLP
2007
15 years 8 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
NIPS
2007
15 years 8 months ago
Mining Internet-Scale Software Repositories
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
BIOCOMP
2006
15 years 8 months ago
An Artificial Neural Network based Model to Analyze Malarial Data and Predict Organ Failure
Health Care Management is one of the most important and most important research areas of the new millennium. The main purpose of this work was to analyze the data on malaria patie...
Dinesh P. Mital, Shankar Srinivasan, Syed Haque, R...