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ETRA
2010
ACM
176views Biometrics» more  ETRA 2010»
15 years 10 months ago
Learning relevant eye movement feature spaces across users
In this paper we predict the relevance of images based on a lowdimensional feature space found using several users’ eye movements. Each user is given an image-based search task,...
Zakria Hussain, Kitsuchart Pasupa, John Shawe-Tayl...
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
15 years 10 months ago
Reinforcement learning in multi-dimensional state-action space using random rectangular coarse coding and Gibbs sampling
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
Kimura Kimura
120
Voted
ICML
2006
IEEE
16 years 4 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 9 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott
127
Voted
ITS
1998
Springer
95views Multimedia» more  ITS 1998»
15 years 8 months ago
Using Induction to Generate Feedback in Simulation Based Discovery Learning Environments
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with a...
Koen Veermans, Wouter R. van Joolingen