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AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
189
Voted
AUSFORENSICS
2004
15 years 8 months ago
An Analysis and Comparison of Clustered Password Crackers
Password policies alone do not stand a chance of securing computer systems which rely on the use of secretbased, password authentication methods. The enforcement of "strong&q...
Christian Frichot
APPINF
2003
15 years 8 months ago
Hardware Impact on Communication Performance of Beowulf LINUX Cluster
There exist a lot of models of parallel computation, amongst which LogP and LogGP are famous and suitable to describe the framework of communication process of Beowulf LINUX Clust...
Yuan Tang, Yun-Quan Zhang, Jia-Chang Sun, Yu-Cheng...
CLEF
2010
Springer
15 years 7 months ago
DAEDALUS at WebPS-3 2010: k-Medoids Clustering Using a Cost Function Minimization
This paper describes the participation of DAEDALUS team at the WebPS-3 Task 1, regarding Web People Search. The focus of our research is to evaluate and compare the computational r...
Sara Lana-Serrano, Julio Villena-Román, Jos...
183
Voted
CLUSTER
2006
IEEE
15 years 6 months ago
A taxonomy of application scheduling tools for high performance cluster computing
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...