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126
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AAAI
2006
15 years 5 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
223
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Book
519views
17 years 2 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
166
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IJAR
2011
118views more  IJAR 2011»
14 years 7 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
127
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ADC
2003
Springer
128views Database» more  ADC 2003»
15 years 9 months ago
An algorithm for the induction of defeasible logic theories from databases
Defeasible logic is a non-monotonic logic with applications in rule-based domains such as law. To ease the development and improve the accuracy of expert systems based on defeasib...
Benjamin Johnston, Guido Governatori
135
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FSTTCS
2004
Springer
15 years 9 months ago
Join Algorithms for the Theory of Uninterpreted Functions
The join of two sets of facts, E1 and E2, is defined as the set of all facts that are implied independently by both E1 and E2. Congruence closure is a widely used representation f...
Sumit Gulwani, Ashish Tiwari, George C. Necula