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» Learning Functions from Imperfect Positive Data
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ICML
2002
IEEE
14 years 10 months ago
Multi-Instance Kernels
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
Adam Kowalczyk, Alex J. Smola, Peter A. Flach, Tho...
CIKM
2006
Springer
14 years 1 months ago
Incorporating query difference for learning retrieval functions in world wide web search
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Su...
BMCBI
2007
129views more  BMCBI 2007»
13 years 10 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar
ICPR
2004
IEEE
14 years 11 months ago
Non-linear Reflectance Model for Bidirectional Texture Function Synthesis
A rough texture modelling involves a huge image data-set - the Bidirectional Texture Function (BTF). This 6-dimensional function depends on planar texture coordinates as well as o...
Jirí Filip, Michal Haindl
VLDB
2007
ACM
118views Database» more  VLDB 2007»
14 years 10 months ago
Inferring XML Schema Definitions from XML Data
Although the presence of a schema enables many optimizations for operations on XML documents, recent studies have shown that many XML documents in practice either do not refer to ...
Geert Jan Bex, Frank Neven, Stijn Vansummeren