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» Approximate Learning of Dynamic Models
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ECML
2007
Springer
15 years 8 months ago
Sequence Labeling with Reinforcement Learning and Ranking Algorithms
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Francis Maes, Ludovic Denoyer, Patrick Gallinari
AGENTS
1998
Springer
15 years 10 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
373
Voted
COMPUTING
2011
15 years 1 months ago
Private cloud for collaboration and e-Learning services: from IaaS to SaaS
Abstract The idea behind Cloud Computing is to deliver Infrastructure-, Platformand Software-as-a-Service (IaaS, PaaS and SaaS) over the Internet on an easy payper-use business mod...
Frank Dölitzscher, Anthony Sulistio, Christop...
JSAC
2010
107views more  JSAC 2010»
15 years 4 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
ICSE
2004
IEEE-ACM
16 years 6 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst