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ECML
2007
Springer
16 years 20 days ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
DCOSS
2006
Springer
15 years 10 months ago
When Birds Die: Making Population Protocols Fault-Tolerant
In the population protocol model introduced by Angluin et al. [2], a collection of agents, which are modelled by finite state machines, move around unpredictably and have pairwise ...
Carole Delporte-Gallet, Hugues Fauconnier, Rachid ...
CCGRID
2001
IEEE
15 years 10 months ago
While You're Away: A System for Load-Balancing and Resource Sharing Based on Mobile Agents
While You're Away (WYA) is a distributed system that aggregates the computational power of individual computer systems. WYA introduces the notion of Roaming Computations - Ja...
Niranjan Suri, Paul T. Groth, Jeffrey M. Bradshaw
ICML
2010
IEEE
15 years 7 months ago
Finite-Sample Analysis of LSTD
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
Alessandro Lazaric, Mohammad Ghavamzadeh, Ré...
ICAC
2006
IEEE
16 years 16 days ago
Hardness of Approximation and Greedy Algorithms for the Adaptation Problem in Virtual Environments
— Over the past decade, wide-area distributed computing has emerged as a powerful computing paradigm. Virtual machines greatly simplify wide-area distributed computing ing the ab...
Ananth I. Sundararaj, Manan Sanghi, John R. Lange,...