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» Learning and Inference with Constraints
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ILP
2007
Springer
14 years 1 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
ML
2008
ACM
13 years 7 months ago
A bias/variance decomposition for models using collective inference
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
ICML
2004
IEEE
14 years 8 months ago
Integrating constraints and metric learning in semi-supervised clustering
Mikhail Bilenko, Sugato Basu, Raymond J. Mooney
ALT
2002
Springer
14 years 4 months ago
Constraint Classification: A New Approach to Multiclass Classification
Sariel Har-Peled, Dan Roth, Dav Zimak
ICML
2007
IEEE
14 years 8 months ago
Intractability and clustering with constraints
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
Ian Davidson, S. S. Ravi