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ML
2002
ACM
100views Machine Learning» more  ML 2002»
13 years 8 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 1 months ago
Learning by Teaching SimStudent
The purpose of the current study was to test whether we could create a system where students can learn by teaching a live machine-learning agent. SimStudent is a computer agent tha...
Noboru Matsuda, Victoria Keiser, Rohan Raizada, Ga...
JAIR
2000
102views more  JAIR 2000»
13 years 8 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
CSE
2009
IEEE
14 years 3 months ago
Reinforcement Learning of Listener Response for Mood Classification of Audio
This paper describes a method of applying a reinforcement learning artificial intelligence to categorize audio files by mood based on listener response during a performance. The s...
Jack Stockholm, Philippe Pasquier
EDUTAINMENT
2007
Springer
14 years 3 months ago
Visualization Learning for Visually Impaired People
Virtual Environments (VE) are mainly visual experiments that exclude visually impaired people. In this paper we present an application that should allow almost everybody to “seeâ...
Patrick Salamin, Daniel Thalmann, Fréd&eacu...