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» Online Stochastic and Robust Optimization
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ICML
2001
IEEE
14 years 8 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
13 years 11 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
DAC
2005
ACM
13 years 9 months ago
Constraint-aware robustness insertion for optimal noise-tolerance enhancement in VLSI circuits
Reliability of nanometer circuits is becoming a major concern in today’s VLSI chip design due to interferences from multiple noise sources as well as radiation-induced soft erro...
Chong Zhao, Yi Zhao, Sujit Dey
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
14 years 2 months ago
Stochastic multiscale approaches to consensus problems
Abstract— While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with ...
Jong-Han Kim, Matthew West, Sanjay Lall, Eelco Sch...
EVOW
2001
Springer
14 years 3 days ago
An Evolutionary Algorithm with Stochastic Hill-Climbing for the Edge-Biconnectivity Augmentation Problem
Augmenting an existing network with additional links to achieve higher robustness and survivability plays an important role in network design. We consider the problem of augmenting...
Ivana Ljubic, Günther R. Raidl