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» A Structured Set of Higher-Order Problems
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151
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AAAI
2012
13 years 6 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
135
Voted
PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
15 years 9 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
133
Voted
VMCAI
2007
Springer
15 years 9 months ago
Invariant Synthesis for Combined Theories
We present a constraint-based algorithm for the synthesis of invariants expressed in the combined theory of linear arithmetic and uninterpreted function symbols. Given a set of pro...
Dirk Beyer, Thomas A. Henzinger, Rupak Majumdar, A...
117
Voted
COLT
2004
Springer
15 years 9 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
143
Voted
UM
2001
Springer
15 years 8 months ago
Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing
Abstract: An emerging practice in e-commerce systems is to conduct interviews with buyers in order to identify their needs. The goal of such an interview is to determine sets of pr...
Markus Stolze, Michael Ströbel