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ATAL
2010
Springer
15 years 8 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
CAI
2002
Springer
15 years 7 months ago
The Computing and Data Grid Approach: Infrastructure for Distributed Science Applications
Grid technology has evolved over the past several years to provide the services and infrastructure needed for building "virtual" systems and organizations. With this Gri...
William E. Johnston
AAAI
2012
13 years 10 months ago
Transportability of Causal Effects: Completeness Results
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
Elias Bareinboim, Judea Pearl
ICIP
2008
IEEE
16 years 9 months ago
Dynamic channel selection for multi-user video streaming over cognitive radio networks
Due to the dynamic nature of cognitive radio networks, multi-user video streaming (with various video traffic characteristics and QoS requirements) requires efficient dynamic chan...
Hsien-Po Shiang, Mihaela van der Schaar
DAC
2001
ACM
16 years 8 months ago
Hardware/Software Instruction Set Configurability for System-on-Chip Processors
New application-focused system-on-chip platforms motivate new application-specific processors. Configurable and extensible processor architectures offer the efficiency of tuned lo...
Albert Wang, Earl Killian, Dror E. Maydan, Chris R...