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» Generalization Error Bounds Using Unlabeled Data
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DSN
2003
IEEE
14 years 4 months ago
On the Design of Robust Integrators for Fail-Bounded Control Systems
This paper describes the design and evaluation of a robust integrator for software-implemented control systems. The integrator is constructed as a generic component in the Simulin...
Jonny Vinter, Andréas Johansson, Peter Folk...
ICML
2001
IEEE
14 years 11 months ago
Learning with the Set Covering Machine
We generalize the classical algorithms of Valiant and Haussler for learning conjunctions and disjunctions of Boolean attributes to the problem of learning these functions over arb...
Mario Marchand, John Shawe-Taylor
ISCA
2007
IEEE
120views Hardware» more  ISCA 2007»
14 years 5 months ago
Examining ACE analysis reliability estimates using fault-injection
ACE analysis is a technique to provide an early reliability estimate for microprocessors. ACE analysis couples data from performance models with low level design details to identi...
Nicholas J. Wang, Aqeel Mahesri, Sanjay J. Patel
MLDM
2007
Springer
14 years 5 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
QEST
2006
IEEE
14 years 4 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders