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» Representing and generating uncertainty effectively
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ICMLA
2008
15 years 7 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
PUK
2000
15 years 7 months ago
On the Instantiation of ADL Operators Involving Arbitrary First-Order Formulas
The generation of the set of all ground actions for a given set of ADL operators, which are allowed to have conditional effects and preconditions that can be represented using arbi...
Jana Koehler, Jörg Hoffmann
DPD
2007
84views more  DPD 2007»
15 years 6 months ago
Disseminating dependent data in wireless broadcast environments
In wireless mobile environments, data broadcasting is an effective approach to disseminate information to mobile clients. In some applications, the access pattern of all the data c...
Chuan-Ming Liu, Kun-Feng Lin
TOG
2012
255views Communications» more  TOG 2012»
13 years 8 months ago
A probabilistic model for component-based shape synthesis
We present an approach to synthesizing shapes from complex domains, by identifying new plausible combinations of components from existing shapes. Our primary contribution is a new...
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphn...
ICCV
2007
IEEE
16 years 8 months ago
Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment
In this paper we propose a method for matching articulated shapes represented as large sets of 3D points by aligning the corresponding embedded clouds generated by locally linear ...
Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond ...