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ICML
2004
IEEE
16 years 4 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
ML
2002
ACM
223views Machine Learning» more  ML 2002»
15 years 3 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
135
Voted
ICALT
2009
IEEE
15 years 1 months ago
Realtime Knowledge Space Skill Assessment for Personalized Digital Educational Games
Digital Educational Games offer immersive environments through which learners can enjoy motivational and compelling educational experiences. Applying personalization techniques wi...
Owen Conlan, Cormac Hampson, Neil Peirce, Michael ...
ALT
2009
Springer
16 years 1 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
CHI
2007
ACM
16 years 4 months ago
Hard lessons: effort-inducing interfaces benefit spatial learning
Interface designers normally strive for a design that minimises the user's effort. However, when the design's objective is to train users to interact with interfaces tha...
Andy Cockburn, Per Ola Kristensson, Jason Alexande...