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» The changing science of machine learning
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COLT
1999
Springer
14 years 1 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
ICML
2001
IEEE
14 years 9 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
CSCW
2004
ACM
14 years 2 months ago
Learning from project history: a case study for software development
The lack of lightweight communication channels and other technical and sociological difficulties make it hard for new members of a non-collocated software development team to lea...
Davor Cubranic, Gail C. Murphy, Janice Singer, Kel...
CAMP
2005
IEEE
14 years 2 months ago
Virtual Astronomy, Information Technology, and the New Scientific Methodology
—All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transfor...
S. George Djorgovski
CSIE
2009
IEEE
13 years 10 months ago
An Investigation of Forecasting Critical Spare Parts Requirement
The critical spare parts (CSP) is essential to machine operation, which is also more expensive, have longer purchasing lead time and larger demand variation than non-critical spar...
Fei-Long Chen, Yun-Chin Chen