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    IJCAI
    2001
    102views Artificial Intelligence» more  IJCAI 2001»
    Leveraging Data About Users in General in the Learning of Individual User Models
    13 years 9 months ago
    Leveraging Data About Users in General in the Learning of Individual User Models
    Download  dfki.de
    Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
    Anthony Jameson, Frank Wittig
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    IROS
    2007
    IEEE
    148views Robotics» more  IROS 2007»
    Tractable probabilistic models for intention recognition based on expert knowledge
    14 years 1 months ago
    Tractable probabilistic models for intention recognition based on expert knowledge
    Download  isas.uka.de
    — Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
    Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
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    IJON
    2010
    138views more  IJON 2010»
    A dynamic Bayesian network to represent discrete duration models
    13 years 6 months ago
    A dynamic Bayesian network to represent discrete duration models
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    Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
    Roland Donat, Philippe Leray, Laurent Bouillaut, P...
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    CHI
    2007
    ACM
    119views Human Computer Interaction» more  CHI 2007»
    Trust 2.1: advancing the trust debate
    14 years 8 months ago
    Trust 2.1: advancing the trust debate
    Download  www.luminainteractive.com
    Trust has a considerable research tradition in the CHI community. It has been investigated in the context of e-commerce, virtual teams, online gaming, social networking ? to name ...
    Jens Riegelsberger, Asimina Vasalou
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    NIPS
    2003
    146views Information Technology» more  NIPS 2003»
    On the Concentration of Expectation and Approximate Inference in Layered Networks
    13 years 9 months ago
    On the Concentration of Expectation and Approximate Inference in Layered Networks
    Download  www.cs.berkeley.edu
    We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
    XuanLong Nguyen, Michael I. Jordan
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