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» On space constrained set selection problems
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IPPS
1996
IEEE
15 years 4 months ago
Practical Parallel Algorithms for Dynamic Data Redistribution, Median Finding, and Selection
A common statistical problem is that of nding the median element in a set of data. This paper presents a fastand portable parallel algorithm for nding the median given a set of el...
David A. Bader, Joseph JáJá
113
Voted
IJCAI
2007
15 years 1 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
132
Voted
SIGMOD
2012
ACM
222views Database» more  SIGMOD 2012»
13 years 2 months ago
Tiresias: a demonstration of how-to queries
In this demo, we will present Tiresias, the first how-to query engine. How-to queries represent fundamental data analysis questions of the form: “How should the input change in...
Alexandra Meliou, Yisong Song, Dan Suciu
91
Voted
CSDA
2007
105views more  CSDA 2007»
15 years 12 days ago
Model selection for support vector machines via uniform design
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
80
Voted
ICML
2007
IEEE
16 years 1 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong