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COGSR
2011
77views more  COGSR 2011»
13 years 5 months ago
Learning to use episodic memory
This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...
Nicholas A. Gorski, John E. Laird
WWW
2008
ACM
14 years 10 months ago
Modeling anchor text and classifying queries to enhance web document retrieval
Several types of queries are widely used on the World Wide Web and the expected retrieval method can vary depending on the query type. We propose a method for classifying queries ...
Atsushi Fujii
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Usability Evaluation for Image Retrieval Beyond Desktop Applications
Interactivity is a key concept in modern content-based retrieval. Therefore, in addition to the ability to learn from user generated data, easy and intuitive to use interfaces are...
Thomas Käster, Michael Pfeiffer, Christian Ba...
FQAS
2006
Springer
90views Database» more  FQAS 2006»
14 years 1 months ago
XML-Structured Documents: Retrievable Units and Inheritance
We consider the retrieval of XML-structured documents, and of passages from such documents, defined as elements of the XML structure. These are considered from the point of view of...
Stephen E. Robertson, Wei Lu, Andrew MacFarlane
CISST
2004
164views Hardware» more  CISST 2004»
13 years 11 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp