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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 10 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
APSEC
1997
IEEE
15 years 10 months ago
Detecting Common Mode Failures in N-Version Software Using Weakest Precondition Analysis
An underlying assumption for N-version programming technique is that independently developed versions would fail in a statistically independent mannel: Howevel; empirical studies ...
Gwang Sik Yoon, Sung Deok Cha, Yong Rae Kwon, Chan...
PPSN
1992
Springer
15 years 10 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
ICCBR
2010
Springer
15 years 10 months ago
Goal-Driven Autonomy with Case-Based Reasoning
The vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or ...
Héctor Muñoz-Avila, Ulit Jaidee, Dav...
EWCBR
2000
Springer
15 years 9 months ago
Remembering Why to Remember: Performance-Guided Case-Base Maintenance
An important focus of recent CBR research is on how to develop strategies for achieving compact, competent case-bases, as a way to improve the performance of CBR systems. However, ...
David B. Leake, David C. Wilson