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BMCBI
2005
13 years 5 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
SIGECOM
2004
ACM
13 years 11 months ago
2004
ACM
The revelation principle is a cornerstone tool in mechanism design. It states that one can restrict attention, without loss in the designer’s objective, to mechanisms in which A...
RSS
2007
13 years 7 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
AI
2006
Springer
13 years 5 months ago
2006
Springer
In many situations, a set of hard constraints encodes the feasible configurations of some system or product over which multiple users have distinct preferences. However, making su...
NSDI
2004
13 years 7 months ago
2004
Designing a wide-area distributed hash table (DHT) that provides high-throughput and low-latency network storage is a challenge. Existing systems have explored a range of solution...