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» On Computing Functions with Uncertainty
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AAAI
2007
13 years 11 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
BMCBI
2008
126views more  BMCBI 2008»
13 years 9 months ago
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
Background: FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confide...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim...
EOR
2002
123views more  EOR 2002»
13 years 8 months ago
Capacity selection under uncertainty with ratio objectives
Capacity choice or expansion, whether organic or via mergers and acquisitions, creates firms of widely varying scales. The ex-post profitability of such a transformed firm relativ...
Yigal Gerchak, Elkafi Hassini, Saibal Ray
NSDI
2008
13 years 11 months ago
The Heisenbot Uncertainty Problem: Challenges in Separating Bots from Chaff
In this paper we highlight a number of challenges that arise in using crawling to measure the size, topology, and dynamism of distributed botnets. These challenges include traffic...
Chris Kanich, Kirill Levchenko, Brandon Enright, G...
BMCBI
2007
126views more  BMCBI 2007»
13 years 9 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...