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MM
2006
ACM
125views Multimedia» more  MM 2006»
15 years 5 months ago
The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation
This paper presents a novel real-time, multi-modal biofeedback system for stroke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotono...
Yinpeng Chen, He Huang, Weiwei Xu, Richard Isaac W...
CLEIEJ
2004
119views more  CLEIEJ 2004»
14 years 11 months ago
Pump Scheduling Optimization Using Asynchronous Parallel
Optimizing the pump-scheduling is an interesting proposal to achieve cost reductions in water distribution pumping stations. As systems grow, pump-scheduling becomes a very diffic...
Christian von Lücken, Benjamín Bar&aac...
AAAI
2012
13 years 2 months ago
Real-Time Collaborative Planning with the Crowd
Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
Walter S. Lasecki, Jeffrey P. Bigham, James F. All...
ICML
2000
IEEE
16 years 19 days ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
ECML
2007
Springer
15 years 3 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass