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» A Bayesian Approach for User Modeling in Dialogue Systems
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ACL
2009
14 years 8 months ago
Predicting Barge-in Utterance Errors by using Implicitly-Supervised ASR Accuracy and Barge-in Rate per User
Modeling of individual users is a promising way of improving the performance of spoken dialogue systems deployed for the general public and utilized repeatedly. We define "im...
Kazunori Komatani, Alexander I. Rudnicky
EACL
2006
ACL Anthology
14 years 11 months ago
Data-Driven Generation of Emphatic Facial Displays
We describe an implementation of datadriven selection of emphatic facial displays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of...
Mary Ellen Foster, Jon Oberlander
87
Voted
AH
2008
Springer
15 years 4 months ago
VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems
Current approaches to explicit user modelling are generally time consuming and tedious for the user. Oftentimes poor usability and overly long questionnaires deter the end user fro...
Melanie B. Späth, Owen Conlan
76
Voted
ICPR
2004
IEEE
15 years 11 months ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors
AAAI
2006
14 years 11 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart