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ALT
2003
Springer
15 years 7 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
SIGMOD
2010
ACM
221views Database» more  SIGMOD 2010»
15 years 8 months ago
Low overhead concurrency control for partitioned main memory databases
Database partitioning is a technique for improving the performance of distributed OLTP databases, since “single partition” transactions that access data on one partition do no...
Evan P. C. Jones, Daniel J. Abadi, Samuel Madden
147
Voted
WSC
1997
15 years 5 months ago
Making Better Manufacturing Decisions with AIM
FACTOR/AIM (AIM) is a simulation system designed specifically for use in manufacturing decision support. AIM has been successfully applied to engineering design, scheduling, and p...
Julie N. Ehrlich, William R. Lilegdon
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
16 years 4 months ago
Automated SQL tuning through trial and (sometimes) error
SQL tuning--the attempt to improve a poorly-performing execution plan produced by the database query optimizer-is a critical aspect of database performance tuning. Ironically, as ...
Herodotos Herodotou, Shivnath Babu
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 10 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...