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ICRA
2009
IEEE
132views Robotics» more  ICRA 2009»
13 years 12 months ago
Smoothed Sarsa: Reinforcement learning for robot delivery tasks
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
Deepak Ramachandran, Rakesh Gupta
NIPS
2007
13 years 6 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans
CVPR
2012
IEEE
11 years 7 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
ADCS
2004
13 years 6 months ago
GOOD Publishing System: Generic Online/Offline Delivery
GOOD is a tailor-made, fully integrated publishing system that creates output documents for multiple media types used in both online and offline teaching modes at the University of...
Jacek Radajewski, Sally MacFarlane, Stijn Dekeyser
AH
2006
Springer
13 years 7 months ago
Dynamic Content Discovery, Harvesting and Delivery, from Open Corpus Sources, for Adaptive Systems
Personalised elearning is being heralded as one of the grand challenges of next generation learning systems, in particular, its ability to support greater effectiveness, efficiency...
Séamus Lawless, Vincent Wade