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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...
IPPS
2005
IEEE
16 years 3 days ago
Message Passing for Linux Clusters with Gigabit Ethernet Mesh Connections
Multiple copper-based commodity Gigabit Ethernet (GigE) interconnects (adapters) on a single host can lead to Linux clusters with mesh/torus connections without using expensive sw...
Jie Chen, William A. Watson III, Robert Edwards, W...
EDBT
2004
ACM
147views Database» more  EDBT 2004»
15 years 12 months ago
Clustering Multidimensional Extended Objects to Speed Up Execution of Spatial Queries
Abstract. We present a cost-based adaptive clustering method to improve average performance of spatial queries (intersection, containment, enclosure queries) over large collections...
Cristian-Augustin Saita, François Llirbat
HPDC
2003
IEEE
15 years 11 months ago
Dynamic Virtual Clusters in a Grid Site Manager
This paper presents new mechanisms for dynamic resource management in a cluster manager called Clusteron-Demand (COD). COD allocates servers from a common pool to multiple virtual...
Jeffrey S. Chase, David E. Irwin, Laura E. Grit, J...
AAAI
2007
15 years 8 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash