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JAIR
2010
131views more  JAIR 2010»
13 years 5 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
JSW
2008
202views more  JSW 2008»
13 years 7 months ago
Change Prediction in Object-Oriented Software Systems: A Probabilistic Approach
An estimation of change-proneness of parts of a software system is an active topic in the area of software engineering. Such estimates can be used to predict changes to different c...
Ali R. Sharafat, Ladan Tahvildari
IEEEINTERACT
2002
IEEE
14 years 10 days ago
Compiling for Fine-Grain Concurrency: Planning and Performing Software Thread Integration
Embedded systems require control of many concurrent real-time activities, leading to system designs which feature multiple hardware peripherals with each providing a specific, ded...
Alexander G. Dean
BMCBI
2007
135views more  BMCBI 2007»
13 years 7 months ago
LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise
Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separat...
Dante Mantini, Francesca Petrucci, Damiana Pierago...
ECIS
2004
13 years 8 months ago
A strategy modelling technique for financial services
Strategy planning processes often suffer from a lack of conceptual models that can be used to represent business strategies in a structured and standardized form. If natural langu...
Bernd Heinrich, Robert Winter