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ENTCS
2007
113views more  ENTCS 2007»
14 years 9 months ago
Modular Checkpointing for Atomicity
Transient faults that arise in large-scale software systems can often be repaired by re-executing the code in which they occur. Ascribing a meaningful semantics for safe re-execut...
Lukasz Ziarek, Philip Schatz, Suresh Jagannathan
COLT
2010
Springer
14 years 7 months ago
Following the Flattened Leader
We analyze the regret, measured in terms of log loss, of the maximum likelihood (ML) sequential prediction strategy. This "follow the leader" strategy also defines one o...
Wojciech Kotlowski, Peter Grünwald, Steven de...
TSP
2010
14 years 4 months ago
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
Stefan Uhlich, Bin Yang
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 2 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
BMCBI
2010
115views more  BMCBI 2010»
14 years 9 months ago
Machine learning methods for metabolic pathway prediction
Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
Joseph M. Dale, Liviu Popescu, Peter D. Karp