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AAAI
1993
15 years 3 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
ECAI
2010
Springer
15 years 3 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 2 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
AAI
2008
93views more  AAI 2008»
15 years 2 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
DEBU
2008
118views more  DEBU 2008»
15 years 2 months ago
Big, Fast XQuery: Enabling Content Applications
Increasingly, companies recognize that most of their important information does not exist in relational stores but in documents. For a long time, textual information has been rela...
Mary Holstege
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