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» An Introduction to Learning Structured Information
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SIGIR
2000
ACM
15 years 8 months ago
Hierarchical classification of Web content
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
Susan T. Dumais, Hao Chen
CLEF
2006
Springer
15 years 7 months ago
Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL
Abstract. We promote the use of explicit medical knowledge to solve retrieval of information both visual and textual. For text, this knowledge is a set of concepts from a Meta-thes...
Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee ...
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ICML
2007
IEEE
16 years 4 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
ALT
2008
Springer
16 years 25 days ago
Optimally Learning Social Networks with Activations and Suppressions
In this paper we consider the problem of learning hidden independent cascade social networks using exact value injection queries. These queries involve activating and suppressing a...
Dana Angluin, James Aspnes, Lev Reyzin
INDIASE
2009
ACM
15 years 10 months ago
An effective learning environment for teaching problem solving in software architecture
A software architect engages in solving Software Engineering (SE) problems throughout his career. Thus inculcating problem solving skills should be one of the learning objectives ...
Kirti Garg, Vasudeva Varma