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AIPS
2010
14 years 12 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
69
Voted
OPODIS
2008
14 years 11 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
15 years 10 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
15 years 1 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»
14 years 9 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