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WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
13 years 5 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
WWW
2007
ACM
15 years 10 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
CRV
2009
IEEE
206views Robotics» more  CRV 2009»
15 years 4 months ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...
Philippe Giguère, Gregory Dudek, Chris Prah...
CIKM
2009
Springer
15 years 4 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
CSE
2008
IEEE
15 years 4 months ago
Adaptation to Dynamic Resource Availability in Ad Hoc Grids through a Learning Mechanism
Ad-hoc Grids are highly heterogeneous and dynamic networks, one of the main challenges of resource allocation in such environments is to find mechanisms which do not rely on the ...
Behnaz Pourebrahimi, Koen Bertels