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APN
2010
Springer
15 years 7 months ago
GreatSPN Enhanced with Decision Diagram Data Structures
Decision diagrams (DDs) have made their way into Petri net (PN) tools either in the form of new tools (usually designed from scratch to use DDs) or as enhancements to existing tool...
Junaid Babar, Marco Beccuti, Susanna Donatelli, An...
FOCS
1999
IEEE
15 years 7 months ago
Learning Mixtures of Gaussians
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
Sanjoy Dasgupta
ICGI
2010
Springer
15 years 4 months ago
Generalizing over Several Learning Settings
We recapitulate regular one-shot learning from membership and equivalence queries, positive and negative finite data. We present a meta-algorithm that generalizes over as many sett...
Anna Kasprzik
NIPS
2000
15 years 4 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
IFSA
2007
Springer
102views Fuzzy Logic» more  IFSA 2007»
15 years 9 months ago
Strict Generalization in Multilayered Perceptron Networks
Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points ar...
Debrup Chakraborty, Nikhil R. Pal