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» Mechanizing Inductive Reasoning
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NIPS
2007
15 years 7 months ago
Learning and using relational theories
Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
ESANN
2004
15 years 7 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
FLAIRS
2004
15 years 7 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
SYNTHESE
2010
101views more  SYNTHESE 2010»
15 years 4 months ago
Actual causation: a stone soup essay
We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induction from intuitions ab...
Clark Glymour, David Danks, Bruce Glymour, Frederi...
WINE
2010
Springer
164views Economy» more  WINE 2010»
15 years 4 months ago
Incentives in Online Auctions via Linear Programming
Online auctions in which items are sold in an online fashion with little knowledge about future bids are common in the internet environment. We study here a problem in which an auc...
Niv Buchbinder, Kamal Jain, Mohit Singh