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AIPS
2006
14 years 11 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang
BMCBI
2006
137views more  BMCBI 2006»
14 years 10 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
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RTSS
1999
IEEE
15 years 2 months ago
Design and Implementation of Statistical Rate Monotonic Scheduling in KURT Linux
Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [LL73] for periodic tasks with highly variable execution times and...
Alia Atlas, Azer Bestavros
NIPS
2003
14 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
SIAMCO
2010
147views more  SIAMCO 2010»
14 years 8 months ago
Anytime Reliable Transmission of Real-Valued Information through Digital Noisy Channels
Abstract. The problem of reliably transmitting a real-valued random vector through a digital noisy channel is relevant for the design of distributed estimation and control techniqu...
Giacomo Como, Fabio Fagnani, Sandro Zampieri