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SAC
2005
ACM
15 years 3 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
79
Voted
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 3 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
AIED
2007
Springer
15 years 3 months ago
Getting Under the Skin of Learners: Tools for Evaluating Emotional Experience
: This paper reports a study that evaluated a methodology and tool for eliciting the emotional experience of language learning. It has looked at the relative rate of change of diff...
Madeline Alsmeyer, Rosemary Luckin, Judith Good
CORR
2007
Springer
95views Education» more  CORR 2007»
14 years 9 months ago
Prediction with expert advice for the Brier game
We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict...
Vladimir Vovk
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
14 years 7 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...