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ICML
2002
IEEE
16 years 5 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
VLDB
2007
ACM
147views Database» more  VLDB 2007»
16 years 5 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu
GLOBECOM
2006
IEEE
15 years 11 months ago
Analog Multi-Tone Signaling for High-Speed Backplane Electrical Links
— Implementing a multi-tone (MT) architecture for high-speed backplane electrical links is difficult given the tight power and complexity constraints in this application. This pa...
Amir Amirkhany, Ali-Azam Abbasfar, Vladimir Stojan...
DRR
2010
15 years 7 months ago
Time and space optimization of document content classifiers
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
Dawei Yin, Henry S. Baird, Chang An
BMCBI
2005
134views more  BMCBI 2005»
15 years 4 months ago
Ancestral sequence alignment under optimal conditions
Background: Multiple genome alignment is an important problem in bioinformatics. An important subproblem used by many multiple alignment approaches is that of aligning two multipl...
Alexander K. Hudek, Daniel G. Brown 0001