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111
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BMCBI
2010
229views more  BMCBI 2010»
14 years 11 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
105
Voted
MICRO
2009
IEEE
315views Hardware» more  MICRO 2009»
15 years 5 months ago
Control flow obfuscation with information flow tracking
Recent micro-architectural research has proposed various schemes to enhance processors with additional tags to track various properties of a program. Such a technique, which is us...
Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huan...
92
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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 years 4 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
106
Voted
VMCAI
2004
Springer
15 years 4 months ago
Construction of a Semantic Model for a Typed Assembly Language
Typed Assembly Languages (TALs) can be used to validate the safety of assembly-language programs. However, typing rules are usually trusted as axioms. In this paper, we show how to...
Gang Tan, Andrew W. Appel, Kedar N. Swadi, Dinghao...
BIRTHDAY
2010
Springer
15 years 3 months ago
The Arrow of Time through the Lens of Computing
Egon Börger Ambient Abstract State Machines with Applications 11:00 AM Manfred Broy Realizability of System Interface Specifications 11:30 AM Ofer Strichman Proving Equivalence be...
Krishna V. Palem