Sciweavers

111 search results - page 6 / 23
» Predictive State Representations: A New Theory for Modeling ...
Sort
View
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
HIPC
2005
Springer
14 years 1 months ago
Application of Reduce Order Modeling to Time Parallelization
We recently proposed a new approach to parallelization, by decomposing the time domain, instead of the conventional space domain. This improves latency tolerance, and we demonstrat...
Ashok Srinivasan, Yanan Yu, Namas Chandra
AAAI
2011
12 years 7 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
FIDJI
2003
Springer
14 years 21 days ago
Distributed Composite Objects: A New Object Model for Cooperative Applications
This paper introduces a new programming model for distributed systems, distributed composite objects (DCO), to meet efficient implementation, transparency, and performance demands ...
Guray Yilmaz, Nadia Erdogan
CDC
2008
IEEE
127views Control Systems» more  CDC 2008»
14 years 2 months ago
Prediction of vertical motions for landing operations of UAVs
— This paper outlines a novel and feasible procedure to predict vertical motions for safe landing of unmanned aerial vehicles (UAVs) during maritime operations. In the presence o...
Xilin Yang, Hemanshu Roy Pota, Matthew Garratt, Va...