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» Controlling Engineering Problem Solving
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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
APSEC
2001
IEEE
14 years 1 months ago
Orchestrating Computations on the World-Wide Web
Word processing software, email, and spreadsheet have revolutionized office activities. There are many other office tasks that are amenable to automation, such as: scheduling a vi...
Jayadev Misra, Harrick M. Vin
ESWS
2010
Springer
13 years 8 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
AGTIVE
2003
Springer
14 years 2 months ago
Integrating Graph Rewriting and Standard Software Tools
OptimixJ is a graph rewrite tool that can be embedded easily into the standard software process. Applications and models can be developed in Java or UML and extended by graph rewri...
Uwe Aßmann, Johan Lövdahl
POPL
2006
ACM
14 years 10 months ago
Certified assembly programming with embedded code pointers
Embedded code pointers (ECPs) are stored handles of functions and continuations commonly seen in low-level binaries as well as functional or higher-order programs. ECPs are known ...
Zhaozhong Ni, Zhong Shao