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ICML
2009
IEEE
15 years 10 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
15 years 11 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 10 months ago
Logical settings for concept learning from incomplete examples in First Order Logic
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...
Dominique Bouthinon, Henry Soldano, Véroniq...
GROUP
2010
ACM
14 years 8 months ago
Searching for reputable source code on the web
Looking for source code on the Web is a common practice among software developers. Previous research has shown that developers use social cues over technical cues to evaluate sour...
Rosalva E. Gallardo-Valencia, Phitchayaphong Tanti...