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ACL
2008
15 years 6 months ago
Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management
In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...
James Henderson, Oliver Lemon
169
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DAGSTUHL
2006
15 years 6 months ago
Things That See: Context-Aware Multi-modal Interaction
Human activity is extremely complex. Current technology allows us to handcraft real-time perception systems for a specific perceptual task. However, such an approach is inadequate...
James L. Crowley
140
Voted
ACL
2003
15 years 6 months ago
An Adaptive Approach to Collecting Multimodal Input
Multimodal dialogue systems allow users to input information in multiple modalities. These systems can handle simultaneous or sequential composite multimodal input. Different coor...
Anurag Gupta
146
Voted
IJCAI
2003
15 years 6 months ago
Collaborative Filtering Using Associative Neural Memory
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
Chuck P. Lam
WISES
2003
15 years 6 months ago
Using a Java Optimized Processor in a Real World Application
— Java, a popular programming language on desktop systems, is rarely used in embedded systems. Some features of Java, like thread support in the language, could greatly simplify ...
Martin Schoeberl