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AI
1998
Springer
15 years 4 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ATAL
2003
Springer
15 years 10 months ago
Self-Organizing Referral Networks: A Process View of Trust and Authority
Abstract. We are developing a decentralized approach to trust based on referral systems, where agents adaptively give referrals to one another to find other trustworthy agents. In...
Pinar Yolum, Munindar P. Singh
121
Voted
NCI
2004
101views Neural Networks» more  NCI 2004»
15 years 6 months ago
Intelligent monitoring of the offset printing process
In this paper, we present a neural networks and image analysis based approach to assessing colour deviations in an offset printing process from direct measurements on halftone mult...
Lars Bergman, Antanas Verikas
BIOWIRE
2007
Springer
15 years 11 months ago
Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models
Epidemics-inspired techniques have received huge attention in recent years from the distributed systems and networking communities. These algorithms and protocols rely on probabili...
Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...
RE
2009
Springer
15 years 11 months ago
[vem: xi: ] - A Methodology for Process Based Requirements Engineering
Service-oriented architectures (SOA) aim at the alignment of business and IT by having a clear business process-centric focus. In order to reach that goal, real-world business pro...
Philipp Liegl, Rainer Schuster, Marco Zapletal, Ch...