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» A Model of Inductive Bias Learning
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NIPS
2000
13 years 10 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
PKDD
2007
Springer
86views Data Mining» more  PKDD 2007»
14 years 2 months ago
An Effective Approach to Enhance Centroid Classifier for Text Categorization
Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...
Songbo Tan, Xueqi Cheng
ACL
2010
13 years 6 months ago
Phylogenetic Grammar Induction
We present an approach to multilingual grammar induction that exploits a phylogeny-structured model of parameter drift. Our method does not require any translated texts or token-l...
Taylor Berg-Kirkpatrick, Dan Klein
ICML
2005
IEEE
14 years 9 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
JMLR
2010
123views more  JMLR 2010»
13 years 3 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...