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» The changing science of machine learning
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ICML
2008
IEEE
14 years 8 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
SIGCSE
2010
ACM
232views Education» more  SIGCSE 2010»
14 years 2 months ago
Design and evaluation of a computer science and engineering course for middle school girls
A significant focus in the United States recently has been to increase engagement and interest in STEM curricula, particularly among girls and underrepresented minorities [3]. In ...
Gabriela Marcu, Samuel J. Kaufman, Jaihee Kate Lee...
WETICE
2000
IEEE
14 years 1 days ago
Evaluation Challenges for a Federation of Heterogeneous Information Providers: The Case of NASA's Earth Science Information Part
NASA’s Earth Science Information Partnership Federation is an experiment funded to assess the ability of a group of widely heterogeneous earth science data or service providers ...
Catherine Plaisant, Anita Komlodi, Francis Lindsay
AGENTS
1998
Springer
13 years 12 months ago
A Multiagent Perspective of Parallel and Distributed Machine Learning
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
Gerhard Weiß
FOCS
2005
IEEE
14 years 1 months ago
Mechanism Design via Machine Learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...