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» Computing LTS Regression for Large Data Sets
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ICML
2005
IEEE
16 years 4 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
HPCA
2008
IEEE
16 years 4 months ago
Performance and power optimization through data compression in Network-on-Chip architectures
The trend towards integrating multiple cores on the same die has accentuated the need for larger on-chip caches. Such large caches are constructed as a multitude of smaller cache ...
Reetuparna Das, Asit K. Mishra, Chrysostomos Nicop...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 5 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
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CG
2007
Springer
15 years 4 months ago
Visual data mining and analysis of software repositories
In this article we describe an ongoing effort to integrate information visualization techniques into the process of configuration management for software systems. Our focus is to...
Lucian Voinea, Alexandru Telea
PDP
2008
IEEE
15 years 10 months ago
Distributed Sparse Spatial Selection Indexes
Searching for similar objects in metric-space databases can be efficiently solved by using index data structures. A number of alternative sequential indexes have been proposed in...
Veronica Gil Costa, Mauricio Marín