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» Controlled Physical Random Functions
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ECAI
2010
Springer
14 years 11 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
68
Voted
ICML
2010
IEEE
14 years 11 months ago
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
We introduce new, efficient algorithms for value iteration with multiple reward functions and continuous state. We also give an algorithm for finding the set of all nondominated a...
Daniel J. Lizotte, Michael H. Bowling, Susan A. Mu...
77
Voted
ASIACRYPT
2009
Springer
15 years 4 months ago
Memory Leakage-Resilient Encryption Based on Physically Unclonable Functions
Abstract. Physical attacks on cryptographic implementations and devices have become crucial. In this context a recent line of research on a new class of side-channel attacks, calle...
Frederik Armknecht, Roel Maes, Ahmad-Reza Sadeghi,...
INFOCOM
2000
IEEE
15 years 2 months ago
End-to-End Congestion Control Schemes: Utility Functions, Random Losses and ECN Marks
We present a framework for designing end-to-end congestion control schemes in a network where each user may have a different utility function and may experience non-congestion-re...
Srisankar S. Kunniyur, Rayadurgam Srikant
UIST
2005
ACM
15 years 3 months ago
DT controls: adding identity to physical interfaces
In this paper, we show how traditional physical interface components such as switches, levers, knobs and touch screens can be easily modified to identify who is activating each co...
Paul H. Dietz, Bret Harsham, Clifton Forlines, Dar...