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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 4 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
ECCC
2007
180views more  ECCC 2007»
15 years 4 months ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri
TCS
2008
15 years 4 months ago
New constructions for provably-secure time-bound hierarchical key assignment schemes
A time-bound hierarchical key assignment scheme is a method to assign time-dependent encryption keys to a set of classes in a partially ordered hierarchy, in such a way that each ...
Alfredo De Santis, Anna Lisa Ferrara, Barbara Masu...
CORR
2002
Springer
93views Education» more  CORR 2002»
15 years 4 months ago
Secure History Preservation Through Timeline Entanglement
A secure timeline is a tamper-evident historic record of the states through which a system goes throughout its operational history. Secure timelines can help us reason about the t...
Petros Maniatis, Mary Baker
TKDE
2002
123views more  TKDE 2002»
15 years 3 months ago
Coordinated Placement and Replacement for Large-Scale Distributed Caches
In a large-scale information system such as a digital library or the web, a set of distributed caches can improve their effectiveness by coordinating their data placement decisions...
Madhukar R. Korupolu, Michael Dahlin