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AIPS
2010
13 years 10 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
OPODIS
2008
13 years 9 months ago
Solving Atomic Multicast When Groups Crash
In this paper, we study the atomic multicast problem, a fundamental abstraction for building faulttolerant systems. In the atomic multicast problem, the system is divided into non...
Nicolas Schiper, Fernando Pedone
CHI
2009
ACM
14 years 8 months ago
Focus on driving: how cognitive constraints shape the adaptation of strategy when dialing while driving
We investigate how people adapt their strategy for interleaving multiple concurrent tasks to varying objectives. A study was conducted in which participants drove a simulated vehi...
Duncan P. Brumby, Dario D. Salvucci, Andrew Howes
ICDCS
2010
IEEE
13 years 11 months ago
When Transportation Meets Communication: V2P over VANETs
Abstract—Information interaction is a crucial part of modern transportation activities. In this paper, we propose the idea of Vehicle-to-Passenger communication (V2P), which allo...
Nianbo Liu, Ming Liu, Jiannong Cao, Guihai Chen, W...
BMCBI
2006
110views more  BMCBI 2006»
13 years 7 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon