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» Sequential Inductive Learning
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110
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ACL
2006
15 years 3 months ago
Prototype-Driven Grammar Induction
We investigate prototype-driven learning for primarily unsupervised grammar induction. Prior knowledge is specified declaratively, by providing a few canonical examples of each ta...
Aria Haghighi, Dan Klein
82
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ICML
2003
IEEE
16 years 2 months ago
Robust Induction of Process Models from Time-Series Data
Pat Langley, Dileep George, Stephen D. Bay, Kazumi...
IFIP12
2008
15 years 3 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
103
Voted
ICML
2001
IEEE
16 years 2 months ago
General Loss Bounds for Universal Sequence Prediction
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
Marcus Hutter
83
Voted
AEI
2002
48views more  AEI 2002»
15 years 2 months ago
Graph-based induction and its applications
A machine learning technique called Graph-based induction (GBI) ef
Takashi Matsuda, Hiroshi Motoda, Takashi Washio