691 search results - page 61 / 139 » Constructing Ensembles from Data Envelopment Analysis |
121
Voted
SAC
2010
ACM
14 years 11 months ago
2010
ACM
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
78
Voted
TELETRAFFIC
2007
Springer
15 years 6 months ago
2007
Springer
We present an economically efficient framework for provision of essential input for QoS-aware IP network planning. Firstly, we define a process for reuse of network accounting data...
105
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PRIB
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
110
Voted
ENGL
2007
15 years 15 days ago
2007
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
134
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ICMCS
2008
IEEE
15 years 7 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...