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» Sensitivity of trust-region algorithms to their parameters
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RAID
2005
Springer
14 years 27 days ago
Environment-Sensitive Intrusion Detection
We perform host-based intrusion detection by constructing a model from a program’s binary code and then restricting the program’s execution by the model. We improve the effecti...
Jonathon T. Giffin, David Dagon, Somesh Jha, Wenke...
BMCBI
2006
95views more  BMCBI 2006»
13 years 7 months ago
A quantitative analysis of secondary RNA structure using domination based parameters on trees
Background: It has become increasingly apparent that a comprehensive database of RNA motifs is essential in order to achieve new goals in genomic and proteomic research. Secondary...
Teresa W. Haynes, Debra J. Knisley, Edith Seier, Y...
NIPS
1998
13 years 8 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
CCE
2010
13 years 4 months ago
Optimizing the design of complex energy conversion systems by Branch and Cut
The paper examines the applicability of mathematical programming methods to the simultaneous optimization of the structure and the operational parameters of a combined-cycle-based...
Turang Ahadi-Oskui, Stefan Vigerske, Ivo Nowak, Ge...
BMCBI
2010
87views more  BMCBI 2010»
13 years 2 months ago
A fast and robust hepatocyte quantification algorithm including vein processing
Background: Quantification of different types of cells is often needed for analysis of histological images. In our project, we compute the relative number of proliferating hepatoc...
Tetyana Ivanovska, Andrea Schenk, André Hom...