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» Representing and Reasoning with Preferences
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HIS
2003
14 years 11 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
IJCAI
2003
14 years 11 months ago
Exploring Unknown Environments with Mobile Robots using Coverage Maps
In this paper we introduce coverage maps as a new way of representing the environment of a mobile robot. Coverage maps store for each cell of a given grid a posterior about the am...
Cyrill Stachniss, Wolfram Burgard
INTERACT
2003
14 years 11 months ago
A Model-Based Approach for Engineering Multimodal Interactive Systems
Abstract: Representing the behaviour of multimodal interactive systems in a complete, concise and nonambiguous way is still a challenge for formal description techniques. Indeed, m...
Philippe A. Palanque, Amélie Schyn
NIPS
2003
14 years 11 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
AAAI
2000
14 years 11 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen