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NIPS
2007
15 years 7 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
16 years 14 days ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
169
Voted
TPLP
2010
115views more  TPLP 2010»
15 years 4 months ago
Towards closed world reasoning in dynamic open worlds
The need for integration of ontologies with nonmonotonic rules has been gaining importance in a number of areas, such as the Semantic Web. A number of researchers addressed this p...
Martin Slota, João Leite
SSDBM
2003
IEEE
115views Database» more  SSDBM 2003»
15 years 11 months ago
Efficient Update and Retrieval of Objects in a Multiresolution Geospatial Database
Many emerging applications benefit from the extraction of geospatial data specified at different resolutions for viewing purposes. Data must also be topologically accurate and up-...
Sham Prasher, Xiaofang Zhou
176
Voted
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
15 years 3 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar