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NIPS
1998
15 years 5 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
BTW
2009
Springer
240views Database» more  BTW 2009»
15 years 5 months ago
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
Ira Assent
HPDC
2010
IEEE
15 years 5 months ago
Towards optimising distributed data streaming graphs using parallel streams
Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multidisciplinary expertise and large-scale computational experiments. The...
Chee Sun Liew, Malcolm P. Atkinson, Jano I. van He...
ICECCS
2010
IEEE
162views Hardware» more  ICECCS 2010»
15 years 4 months ago
Trust-Based Adaptation in Complex Service-Oriented Systems
Abstract—Complex networks consisting of humans and software services, such as Web-based social and collaborative environments, typically require flexible and context-based inter...
Florian Skopik, Daniel Schall, Schahram Dustdar
BMCBI
2010
160views more  BMCBI 2010»
15 years 4 months ago
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins
Background: Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein intera...
Young-Rae Cho, Aidong Zhang
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