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» Optimal Bounds on Tail Probabilities - A Simplified Approach
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FOCS
2008
IEEE
14 years 2 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
COMPUTER
2002
103views more  COMPUTER 2002»
13 years 7 months ago
SimpleScalar: An Infrastructure for Computer System Modeling
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...
Todd M. Austin, Eric Larson, Dan Ernst
AI
2010
Springer
13 years 4 months 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...
CORR
2008
Springer
87views Education» more  CORR 2008»
13 years 7 months ago
Green Codes: Energy-Efficient Short-Range Communication
Abstract-- A green code attempts to minimize the total energy per-bit required to communicate across a noisy channel. The classical information-theoretic approach neglects the ener...
Pulkit Grover, Anant Sahai
CORR
2006
Springer
96views Education» more  CORR 2006»
13 years 7 months ago
Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels
Assuming iterative decoding for binary erasure channels (BECs), a novel tree-based technique for upper bounding the bit error rates (BERs) of arbitrary, finite low-density parity-c...
Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Po...