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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 2 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 1 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 1 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 1 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 1 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