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» Minimization and Partitioning Method Reducing Input Sets
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JMLR
2006
140views more  JMLR 2006»
15 years 1 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
IPPS
2007
IEEE
15 years 7 months ago
A Genetic Approach for Distributing Semantic Databases of Crowd Simulations
Last years have witnessed how crowd simulations have become an essential tool for many virtual environment applications. These applications require both rendering visually plausib...
Miguel Lozano, Juan M. Orduña, Vicente Cave...
GIS
2008
ACM
16 years 2 months ago
Density based co-location pattern discovery
Co-location pattern discovery is to find classes of spatial objects that are frequently located together. For example, if two categories of businesses often locate together, they ...
Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma
ICC
2007
IEEE
165views Communications» more  ICC 2007»
15 years 8 months ago
Threshold-based Exhaustive Round-Robin for the CICQ Switch with Virtual Crosspoint Queues
A multi-cabinet implementation of a combined input and crosspoint queued (CICQ) switch introduces a large RTT latency between the line cards and switch fabric, requiring a large cr...
Kenji Yoshigoe
MTV
2007
IEEE
118views Hardware» more  MTV 2007»
15 years 7 months ago
Reduction of Power Dissipation during Scan Testing by Test Vector Ordering
Test vector ordering is recognized as a simple and non-intrusive approach to assist test power reduction. Simulation based test vector ordering approach to minimize circuit transit...
Wang-Dauh Tseng, Lung-Jen Lee