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» Algorithms for the Approximate Common Divisor Problem
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NIPS
1994
14 years 11 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
14 years 11 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
TCBB
2008
126views more  TCBB 2008»
14 years 9 months ago
Combinatorial Approaches for Mass Spectra Recalibration
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
Sebastian Böcker, Veli Mäkinen
EDBT
2006
ACM
136views Database» more  EDBT 2006»
15 years 9 months ago
Optimizing Monitoring Queries over Distributed Data
Scientific data in the life sciences is distributed over various independent multi-format databases and is constantly expanding. We discuss a scenario where a life science research...
Frank Neven, Dieter Van de Craen
ICASSP
2008
IEEE
15 years 4 months ago
High-dynamic range compression using a fast multiscale optimization
to appear in Proc. IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, March, 2008 High-dynamic-range medical images take intensity values which cannot be visualized o...
Matthieu Maitre, Yunqiang Chen, Tong Fang