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ECML
2005
Springer
16 years 2 days ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup
ASAP
2008
IEEE
82views Hardware» more  ASAP 2008»
16 years 1 months ago
Run-time thread sorting to expose data-level parallelism
We address the problem of data parallel processing for computational quantum chemistry (CQC). CQC is a computationally demanding tool to study the electronic structure of molecule...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...
RTSS
1997
IEEE
15 years 10 months ago
More optimism about real-time distributed commit processing
In [6], we proposed a new commit protocol, OPT, specially designed for use in distributed firm-deadline real-time database systems. OPT allows transactions to “optimistically...
Ramesh Gupta, Jayant R. Haritsa, Krithi Ramamritha...
APSCC
2008
IEEE
16 years 1 months ago
Algorithms for Transmission Power Control in Biomedical Wireless Sensor Networks
—Wireless sensor networks are increasingly being used for continuous monitoring of patients with chronic health conditions such as diabetes and heart problems. As biomedical sens...
Ashay Dhamdhere, Vijay Sivaraman, Vidit Mathur, Sh...
PR
2008
129views more  PR 2008»
15 years 6 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park