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CHI
2007
ACM
16 years 7 months ago
Strategies for accelerating on-line learning of hotkeys
Hotkeys are extremely useful in leveraging expert performance, but learning them is a slow process. This paper investigates alternative menu designs that can motivate and help use...
Tovi Grossman, Pierre Dragicevic, Ravin Balakrishn...
TEI
2010
ACM
102views Hardware» more  TEI 2010»
16 years 2 months ago
Tangibles in the balance: a discovery learning task with physical or graphical materials
An assumption behind much work on the use of tangibles for learning is that there are individual cognitive benefits related to the physical manipulation of materials. However, pr...
Paul Marshall, Peter C.-H. Cheng, Rosemary Luckin
IROS
2009
IEEE
120views Robotics» more  IROS 2009»
16 years 2 months ago
Interactive learning of visually symmetric objects
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
Wai Ho Li, Lindsay Kleeman
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
16 years 2 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich