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ILP
2003
Springer
14 years 2 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
BIOID
2008
103views Biometrics» more  BIOID 2008»
13 years 10 months ago
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
APVIS
2010
13 years 10 months ago
Volume exploration using ellipsoidal Gaussian transfer functions
This paper presents an interactive transfer function design tool based on ellipsoidal Gaussian transfer functions (ETFs). Our approach explores volumetric features in the statisti...
Yunhai Wang, Wei Chen, Guihua Shan, Tingxin Dong, ...
DICTA
2003
13 years 10 months ago
Gaussian Blurring-Deblurring for Improved Image Compression
The deblurring of Gaussian blur by inverting the action of the diffusion equation has long been known. This technique is interesting but without much practical application since th...
Moi Hoon Yap, Michel Bister, Hong Tat Ewe
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 9 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro