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ML
2010
ACM
141views Machine Learning» more  ML 2010»
14 years 8 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen
SEMWEB
2010
Springer
14 years 7 months ago
Combining Approximation and Relaxation in Semantic Web Path Queries
We develop query relaxation techniques for regular path queries and combine them with query approximation in order to support flexible querying of RDF data when the user lacks know...
Alexandra Poulovassilis, Peter T. Wood
CEC
2009
IEEE
15 years 4 months ago
Theoretical analysis of rank-based mutation - combining exploration and exploitation
— Parameter setting is an important issue in the design of evolutionary algorithms. Recently, experimental work has pointed out that it is often not useful to work with a fixed ...
Pietro Simone Oliveto, Per Kristian Lehre, Frank N...
TREC
2008
14 years 11 months ago
Combining Candidate and Document Models for Expert Search
: We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using pro...
Krisztian Balog, Maarten de Rijke
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 10 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...