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ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 9 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
ICALT
2006
IEEE
15 years 8 months ago
Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning
Mobile Augmented Reality System (MARS) based elearning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS...
Jayfus T. Doswell
ICRA
2007
IEEE
156views Robotics» more  ICRA 2007»
15 years 8 months ago
Dynamic Guidance with Pseudoadmittance Virtual Fixtures
— Human Machine Collaborative Systems (HMCS) have been developed to enhance sensation and suppress extraneous motions or forces during surgical tasks requiring precise motion. Ho...
Zachary A. Pezzementi, Allison M. Okamura, Gregory...
DIGRA
2005
Springer
15 years 8 months ago
Realistic Agent Movement in Dynamic Game Environments
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...
Ross Graham, Hugh McCabe, Stephen Sheridan
SIGMOD
2012
ACM
242views Database» more  SIGMOD 2012»
13 years 5 months ago
Dynamic management of resources and workloads for RDBMS in cloud: a control-theoretic approach
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
Pengcheng Xiong