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BDA
2000
13 years 6 months ago
Incremental Mining of Sequential Patterns in Large Databases
In this paper we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original database. We present a new a...
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
ECML
2005
Springer
13 years 10 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
JMLR
2010
163views more  JMLR 2010»
12 years 11 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar
PODS
1995
ACM
120views Database» more  PODS 1995»
13 years 8 months ago
Applying an Update Method to a Set of Receivers
d abstract Marc Andries, Leiden University Luca Cabibbo, University of Romey Jan Paredaens, University of Antwerpz Jan Van den Bussche, INRIAx In the context of object databases...
Marc Andries, Luca Cabibbo, Jan Paredaens, Jan Van...
TSP
2011
152views more  TSP 2011»
12 years 12 months ago
Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter
Abstract—Mapping stationary objects is essential for autonomous vehicles and many autonomous functions in vehicles. In this contribution the probability hypothesis density (PHD) ...
Christian Lundquist, Lars Hammarstrand, Fredrik Gu...