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AAAI
2000
13 years 9 months ago
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Pedro Domingos
AAAI
1997
13 years 9 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
AAAI
1997
13 years 9 months ago
Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception
When dealing with signals from complex environments, where multiple time-dependent signal signatures can interfere with each other in stochastically unpredictable ways, traditiona...
Frank Klassner, Victor R. Lesser, Hamid Nawab
BDA
1997
13 years 9 months ago
A Non-Blocking Single-Phase Commit Protocol for Rigorous Participants
Transactional standards have been promoted by OMG and X/Open to allow heterogeneous resources to participate in an Atomic Commitment Protocol (ACP), namely the two-phase commit pro...
Maha Abdallah, Philippe Pucheral
SOSP
1997
ACM
13 years 9 months ago
The Flux OSKit: A Substrate for Kernel and Language Research
Implementing new operating systems is tedious, costly, and often impractical except for large projects. The Flux OSKit addresses this problem in a novel way by providing clean, we...
Bryan Ford, Godmar Back, Greg Benson, Jay Lepreau,...