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NIPS
1993
13 years 11 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
BMCBI
2008
77views more  BMCBI 2008»
13 years 9 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
ASIACRYPT
2011
Springer
12 years 9 months ago
Leakage-Resilient Cryptography from the Inner-Product Extractor
We present a generic method to secure various widely-used cryptosystems against arbitrary side-channel leakage, as long as the leakage adheres three restrictions: first, it is bou...
Stefan Dziembowski, Sebastian Faust
AAAI
2012
12 years 2 days 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
CHI
2007
ACM
14 years 10 months ago
Noticing notice: a large-scale experiment on the timing of software license agreements
Spyware is an increasing problem. Interestingly, many programs carrying spyware honestly disclose the activities of the software, but users install the software anyway. We report ...
Nathaniel Good, Jens Grossklags, Deirdre K. Mullig...