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» Learning probabilistic models of the Web
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CIKM
2008
Springer
15 years 8 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
JWSR
2006
168views more  JWSR 2006»
15 years 6 months ago
Facilitating the Specification of Semantic Web Services Using Model-Driven Development
The Semantic Web promises automated invocation, discovery, and composition of Web services by enhancing services with semantic descriptions. An upper ontology for Web services cal...
Gerald C. Gannod, John T. E. Timm, Raynette J. Bro...
LOCA
2005
Springer
15 years 12 months ago
Web-Enhanced GPS
Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the applicat...
Ramaswamy Hariharan, John Krumm, Eric Horvitz
AAAI
2008
15 years 8 months ago
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
Sergio Jiménez, Fernando Fernández, ...
AAAI
1998
15 years 7 months ago
Modeling Web Sources for Information Integration
The Web is based on a browsing paradigm that makes it di cult to retrieve and integrate data from multiple sites. Today, the only way to do this is to build specialized applicatio...
Craig A. Knoblock, Steven Minton, José Luis...