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» Issues in Developing Very Large Data Warehouses
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ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 6 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
12 years 10 months ago
FlexMin: a flexible tool for automatic bug isolation in DBMS software
Debugging a database engine is an arduous task due to the complexity of the query workloads and systems. The first step in isolating a bug involves identifying a sequence of step...
Kristi Morton, Nicolas Bruno
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
11 years 10 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...
COMPLIFE
2006
Springer
13 years 11 months ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...
ICRA
2009
IEEE
176views Robotics» more  ICRA 2009»
14 years 2 months ago
Rollin' Justin - Mobile platform with variable base
Abstract— Research on humanoid robots for use in servicing tasks, e.g. fetching and delivery, attracts steadily more interest. With ”Rollin’ Justin” a mobile robotic system...
Christoph Borst, Thomas Wimböck, Florian Schm...