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NIPS
1998
13 years 11 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
BWCCA
2010
13 years 5 months ago
Lifetime Security Improvement in Wireless Sensor Network Using Queue-Based Techniques
A wireless sensor network (WSN) is envisioned as a cluster of tiny power-constrained devices with functions of sensing and communications. Sensors closer to a sink node have a larg...
Fuu-Cheng Jiang, Hsiang-Wei Wu, Der-Chen Huang, Ch...
ICDCS
2011
IEEE
12 years 10 months ago
Intelligent Placement of Datacenters for Internet Services
—Popular Internet services are hosted by multiple geographically distributed datacenters. The location of the datacenters has a direct impact on the services’ response times, c...
Iñigo Goiri, Kien Le, Jordi Guitart, Jordi ...
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
14 years 10 months ago
The PCP theorem by gap amplification
The PCP theorem [3, 2] says that every language in NP has a witness format that can be checked probabilistically by reading only a constant number of bits from the proof. The cele...
Irit Dinur
GPEM
2007
113views more  GPEM 2007»
13 years 10 months ago
An evolutionary approach to cancer chemotherapy scheduling
In this paper, we investigate the employment of evolutionary algorithms as a search mechanism in a decision support system for designing chemotherapy schedules. Chemotherapy invol...
Gabriela Ochoa, Minaya Villasana, Edmund K. Burke