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IJCAI
1989
15 years 5 months ago
Building Robust Learning Systems by Combining Induction and Optimization
Each concept description language and search strategy has an inherent inductive bias, a preference for some hypotheses over others. No single inductive bias performs optimally on ...
David K. Tcheng, Bruce L. Lambert, Stephen C. Y. L...
RTS
2002
111views more  RTS 2002»
15 years 3 months ago
Robust Adaptive Metrics for Deadline Assignment in Distributed Hard Real-Time Systems
Distributed real-time applications usually consist of several component tasks and must be completed by its end-to-end (E-T-E) deadline. As long as the E-T-E deadline of an applicat...
Jan Jonsson, Kang G. Shin
ICCAD
2006
IEEE
127views Hardware» more  ICCAD 2006»
16 years 22 days ago
Joint design-time and post-silicon minimization of parametric yield loss using adjustable robust optimization
Parametric yield loss due to variability can be effectively reduced by both design-time optimization strategies and by adjusting circuit parameters to the realizations of variable...
Murari Mani, Ashish Kumar Singh, Michael Orshansky
AI
2010
Springer
15 years 18 days ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
JAIR
2002
122views more  JAIR 2002»
15 years 3 months ago
Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems
Much work in AI deals with the selection of proper actions in a given (known or unknown) environment. However, the way to select a proper action when facing other agents is quite ...
Moshe Tennenholtz