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» A Framework for Exploring Optimization Properties
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JMLR
2008
209views more  JMLR 2008»
13 years 8 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
DASFAA
2005
IEEE
90views Database» more  DASFAA 2005»
14 years 2 months ago
Towards Optimal Utilization of Main Memory for Moving Object Indexing
In moving object databases, existing disk-based indexes are unable to keep up with the high update rate while providing speedy retrieval at the same time. However, efficient manage...
Bin Cui, Dan Lin, Kian-Lee Tan
ATAL
2003
Springer
14 years 2 months ago
Constructing optimal policies for agents with constrained architectures
Optimal behavior is a very desirable property of autonomous agents and, as such, has received much attention over the years. However, making optimal decisions and executing optima...
Dmitri A. Dolgov, Edmund H. Durfee
TASE
2008
IEEE
13 years 8 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
AMAI
2004
Springer
14 years 2 months ago
A Framework for Sequential Planning in Multi-Agent Settings
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
Piotr J. Gmytrasiewicz, Prashant Doshi