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SIAMCO
2010
97views more  SIAMCO 2010»
7 years 11 months ago
Real-Time Nonlinear Optimization as a Generalized Equation
Abstract. We establish results for the problem of tracking a time-dependent manifold arising in realtime optimization by casting this as a parametric generalized equation. We demon...
Victor M. Zavala, Mihai Anitescu
JMLR
2010
157views more  JMLR 2010»
7 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
TVCG
2008
114views more  TVCG 2008»
8 years 4 months ago
Interactive Rendering of Dynamic Geometry
Abstract-- Fluid simulations typically produce complex threedimensional iso-surfaces whose geometry and topology change over time. The standard way of representing such "dynam...
Federico Ponchio, Kai Hormann
MCS
2008
Springer
8 years 4 months ago
Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations
A stochastic numerical scheme for an extended immersed boundary method which incorporates thermal fluctuations for the simulation of microscopic biological systems consisting of fl...
Paul J. Atzberger, Peter R. Kramer
CDC
2009
IEEE
164views Control Systems» more  CDC 2009»
8 years 5 months ago
Kalman filter based estimation of flow states in open channels using Lagrangian sensing
In this article, we investigate real-time estimation of flow states, average velocity and stage (water depth), in open channels using the measurements obtained from Lagrangian sens...
Mohammad Rafiee, Qingfang Wu, Alexandre M. Bayen
APVIS
2009
8 years 5 months ago
Interactive feature extraction and tracking by utilizing region coherency
The ability to extract and follow time-varying flow features in volume data generated from large-scale numerical simulations enables scientists to effectively see and validate mod...
Chris Muelder, Kwan-Liu Ma
NIPS
2004
8 years 5 months ago
Experts in a Markov Decision Process
We consider an MDP setting in which the reward function is allowed to change during each time step of play (possibly in an adversarial manner), yet the dynamics remain fixed. Simi...
Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
AAAI
2006
8 years 5 months ago
QUICR-Learning for Multi-Agent Coordination
Coordinating multiple agents that need to perform a sequence of actions to maximize a system level reward requires solving two distinct credit assignment problems. First, credit m...
Adrian K. Agogino, Kagan Tumer
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
8 years 6 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
DIALM
2005
ACM
104views Algorithms» more  DIALM 2005»
8 years 6 months ago
Information dissemination in highly dynamic graphs
We investigate to what extent flooding and routing is possible if the graph is allowed to change unpredictably at each time step. We study what minimal requirements are necessary...
Regina O'Dell, Roger Wattenhofer
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