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NIPS
2008
15 years 1 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
CISS
2008
IEEE
15 years 6 months ago
Rate adaptation via link-layer feedback for goodput maximization over a time-varying channel
Abstract—We consider adapting the transmission rate to maximize the goodput, i.e., the amount of data transmitted without error, over a continuous Markov flat-fading wireless ch...
Rohit Aggarwal, Phil Schniter, Can Emre Koksal
TACAS
2004
Springer
108views Algorithms» more  TACAS 2004»
15 years 5 months ago
Model Checking Discounted Temporal Properties
Temporal logic is two-valued: formulas are interpreted as either true or false. When applied to the analysis of stochastic systems, or systems with imprecise formal models, tempor...
Luca de Alfaro, Marco Faella, Thomas A. Henzinger,...
CORR
2012
Springer
193views Education» more  CORR 2012»
13 years 7 months ago
A Unifying Framework for Linearly Solvable Control
Recent work has led to the development of an elegant theory of Linearly Solvable Markov Decision Processes (LMDPs) and related Path-Integral Control Problems. Traditionally, LMDPs...
Krishnamurthy Dvijotham, Emanuel Todorov
CACM
2010
90views more  CACM 2010»
14 years 12 months ago
The Singularity system
Every operating system embodies a collection of design decisions. Many of the decisions behind systems have remained unchanged, even as hardware and software have evolved. Operati...
James R. Larus, Galen C. Hunt