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AMAI
2004
Springer
14 years 3 months ago
Learning via Finitely Many Queries
This work introduces a new query inference model that can access data and communicate with a teacher by asking finitely many boolean queries in a language L. In this model the pa...
Andrew C. Lee
CIKM
2009
Springer
14 years 4 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 4 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
EMNLP
2007
13 years 11 months ago
Learning Noun Phrase Query Segmentation
Query segmentation is the process of taking a user’s search-engine query and dividing the tokens into individual phrases or semantic units. Identification of these query segmen...
Shane Bergsma, Qin Iris Wang
MM
2005
ACM
172views Multimedia» more  MM 2005»
14 years 3 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic