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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
WWW
2006
ACM
16 years 7 months ago
Capturing the essentials of federated systems
Today, the Web is increasingly used as a platform for distributed services, which transcend organizational boundaries to form federated applications. Consequently, there is a grow...
Alexander Brändle, Frederic Majer, Johannes M...
BMCBI
2006
165views more  BMCBI 2006»
15 years 6 months ago
Improving the quality of protein structure models by selecting from alignment alternatives
Background: In the area of protein structure prediction, recently a lot of effort has gone into the development of Model Quality Assessment Programs (MQAPs). MQAPs distinguish hig...
Ingolf Sommer, Stefano Toppo, Oliver Sander, Thoma...
ICIAP
2001
Springer
16 years 6 months ago
Intermediate Representation in Model Based Recognition Using Straight Line and Ellipsoidal Arc Primitives
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...
Sergiu Nedevschi, Tiberiu Marita, Daniela Puiu
194
Voted
ECAI
1990
Springer
15 years 10 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt