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AIPS
2006
15 years 8 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
EDOC
2006
IEEE
15 years 10 months ago
Integrated Configuration of Enterprise Systems for Interoperability -- Towards Process Model and Business Document Specification
Enterprise Systems (ES) can be understood as the de facto standard for holistic operational and managerial support within an organization. Most commonly ES are offered as commerci...
Christian Janiesch, Alexander Dreiling, Ulrike Gre...
NLE
2007
148views more  NLE 2007»
15 years 6 months ago
Abbreviated text input using language modeling
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by ta...
Stuart M. Shieber, Rani Nelken
ECAI
2008
Springer
15 years 8 months ago
Test Generation for Model-Based Diagnosis
This article formalises the dual problem to model-based diagnosis (MBD), i.e., generating tests to isolate multiple simultaneous faults. Using a standard propositional MBD framewo...
Gregory M. Provan
AAAI
2010
15 years 8 months ago
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
In this paper a system was developed for robot behavior acquisition using kinesthetic demonstrations. It enables a humanoid robot to imitate constrained reaching gestures directed...
Kaushik Subramanian