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17 years 27 days 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
IJAR
2011
118views more  IJAR 2011»
14 years 5 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
ADC
2003
Springer
128views Database» more  ADC 2003»
15 years 7 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
FSTTCS
2004
Springer
15 years 7 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
GCC
2006
Springer
15 years 5 months ago
BSM: A scheduling algorithm for dynamic jobs based on economics theory
In this paper, we propose a new scheduling algorithm with economic theory, called Black Scholes Market (BSM) algorithm for a class of Dynamic Jobs (DJ). BSM is based on the classi...
Bo Cao, Yongwei Wu, Guangwen Yang, Jia Liu, Jianji...