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» Modeling Functional Data Sources as Relations
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ILP
2007
Springer
15 years 3 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
BMCBI
2006
108views more  BMCBI 2006»
14 years 9 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
82
Voted
ECML
2006
Springer
15 years 1 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
90
Voted
VLDB
1998
ACM
180views Database» more  VLDB 1998»
15 years 1 months ago
nD-SQL: A Multi-Dimensional Language for Interoperability and OLAP
We propose a multi-dimensional language called nD-SQL with the following features: (i) nD-SQL supports queries that interoperate amongst multiple relational sources with heterogen...
Frédéric Gingras, Laks V. S. Lakshma...
EMNLP
2008
14 years 11 months ago
Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora
We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their forma...
Zhifei Li, David Yarowsky