output
20062026
most citedScalable Learning of Intrusion Responses through Recursive Decomposition

174 citations

Showing 2013Show all

25 papers · 1 filter

cs.SE2013

Reasoning and Improving on Software Resilience against Unanticipated Exceptions

Benoit Cornu, Lionel Seinturier, Martin Monperrus

In software, there are the errors anticipated at specification and design time, those encountered at development and testing time, and those that happen in production mode yet neve…

eess.SY2013★ 1 cited

Simultaneous Perturbation Methods for Adaptive Labor Staffing in Service Systems

L. A. Prashanth, H. L. Prasad, Nirmit Desai +2

Service systems are labor intensive due to the large variation in the tasks required to address service requests from multiple customers. Aligning the staffing levels to the foreca…

q-fin.RM2013★ 1 cited

Systematic and multifactor risk models revisited

Michel Fliess, Cédric Join

Systematic and multifactor risk models are revisited via methods which were already successfully developed in signal processing and in automatic control. The results, which bypass…

cs.LG2013★ 47 cited

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem

Masrour Zoghi, Shimon Whiteson, Remi Munos +1

This paper proposes a new method for the K-armed dueling bandit problem, a variation on the regular K-armed bandit problem that offers only relative feedback about pairs of arms. O…

eess.SY2013

Two Timescale Convergent Q-learning for Sleep--Scheduling in Wireless Sensor Networks

Prashanth L. A., Abhranil Chatterjee, Shalabh Bhatnagar

In this paper, we consider an intrusion detection application for Wireless Sensor Networks (WSNs). We study the problem of scheduling the sleep times of the individual sensors to m…

cs.SE2013★ 125 cited

Mining Software Repair Models for Reasoning on the Search Space of Automated Program Fixing

Matias Martinez, Martin Monperrus

This paper is about understanding the nature of bug fixing by analyzing thousands of bug fix transactions of software repositories. It then places this learned knowledge in the con…