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SGAI
2004
Springer
15 years 12 months ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
VLDB
1994
ACM
91views Database» more  VLDB 1994»
15 years 10 months ago
On Spatially Partitioned Temporal Join
This paper presents an innovative partitionbased time join strategy for temporal databases where time is represented by time intervals. The proposed method maps time intervals to ...
Hongjun Lu, Beng Chin Ooi, Kian-Lee Tan
VISUALIZATION
1995
IEEE
15 years 10 months ago
Legibility Enhancement for Information Visualisation
Navigation in computer generated information spaces may be difficult, resulting in users getting “lost in hyperspace.” This work aims to build on research from the area of ci...
Rob Ingram, Steve Benford
AAAI
2006
15 years 8 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
NIPS
2003
15 years 8 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss