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CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
13 years 2 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...
ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
IPPS
2000
IEEE
13 years 12 months ago
Speed vs. Accuracy in Simulation for I/O-Intensive Applications
This paper presents a family of simulators that have been developed for data-intensive applications, and a methodology to select the most efficient one based on a usersupplied req...
Hyeonsang Eom, Jeffrey K. Hollingsworth
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 8 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich
ICASSP
2009
IEEE
14 years 2 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...