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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 3 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
KES
1998
Springer
14 years 1 months ago
An acquisition of the relation between vision and action using self-organizing map and reinforcement learning
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
Kazunori Terada, Hideaki Takeda, Toyoaki Nishida
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 3 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
SEMCO
2009
IEEE
14 years 3 months ago
Building a Semantic Web of Things: Issues and Perspectives in Information Compression
The paper surveys some relevant issues related to data management in pervasive environments. Particularly, it focuses on the compression of semantic annotations for building so ca...
Floriano Scioscia, Michele Ruta
PVLDB
2008
122views more  PVLDB 2008»
13 years 8 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor