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122
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ALT
1999
Springer
15 years 9 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
SIGMOD
1996
ACM
133views Database» more  SIGMOD 1996»
15 years 8 months ago
Multi-dimensional Resource Scheduling for Parallel Queries
Scheduling query execution plans is an important component of query optimization in parallel database systems. The problem is particularly complex in a shared-nothing execution en...
Minos N. Garofalakis, Yannis E. Ioannidis
206
Voted
AII
1992
15 years 8 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma
CCS
2008
ACM
15 years 6 months ago
Efficient attributes for anonymous credentials
We extend the Camenisch-Lysyanskaya anonymous credential system such that selective disclosure of attributes becomes highly efficient. The resulting system significantly improves ...
Jan Camenisch, Thomas Groß
CLIMA
2007
15 years 6 months ago
Plan-Coordination Mechanisms and the Price of Autonomy
Abstract. Task-based planning problems for multi-agent systems require multiple agents to find a joint plan for a constrained set of tasks. Typically, each agent receives a subset...
J. Renze Steenhuisen, Cees Witteveen, Yingqian Zha...