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124
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ICANN
2009
Springer
15 years 6 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
126
Voted
WSCG
2004
137views more  WSCG 2004»
15 years 4 months ago
Fractal Image Compression for Efficient Texture Mapping
Texture mapping has traditionally been used to add visual realism to computer graphics images. In the paper we propose an alternative technique for image texture handling. We use ...
Jerzy Stachera, Slawomir S. Nikiel
102
Voted
VIS
2007
IEEE
108views Visualization» more  VIS 2007»
16 years 4 months ago
Efficient Visualization of Lagrangian Coherent Structures by Filtered AMR Ridge Extraction
This paper presents a method for filtered ridge extraction based on adaptive mesh refinement. It is applicable in situations where the underlying scalar field can be refined during...
Filip Sadlo, Ronald Peikert
132
Voted
ICML
1994
IEEE
15 years 6 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
135
Voted
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 4 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny