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ICASSP
2009
IEEE
16 years 1 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...
UAI
2008
15 years 7 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
ECCV
2008
Springer
16 years 8 months ago
An Incremental Learning Method for Unconstrained Gaze Estimation
Abstract. This paper presents an online learning algorithm for appearancebased gaze estimation that allows free head movement in a casual desktop environment. Our method avoids the...
Yusuke Sugano, Yasuyuki Matsushita, Yoichi Sato, H...
IUI
2006
ACM
16 years 9 days ago
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...
Christina Merten, Cristina Conati
ICAC
2005
IEEE
15 years 12 months ago
PICCIL: Interactive Learning to Support Log File Categorization
Motivated by the real-world application of categorizing system log messages into defined situation categories, this paper describes an interactive text categorization method, PICC...
David Loewenstern, Sheng Ma, Abdi Salahshour