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ICML
2000
IEEE
16 years 7 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 6 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
FOIKS
2008
Springer
16 years 3 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ICCD
2008
IEEE
119views Hardware» more  ICCD 2008»
16 years 3 months ago
Hierarchical simulation-based verification of Anton, a special-purpose parallel machine
—One of the major design verification challenges in the development of Anton, a massively parallel special-purpose machine for molecular dynamics, was to provide evidence that co...
John P. Grossman, John K. Salmon, Richard C. Ho, D...
IEEEARES
2009
IEEE
16 years 1 months ago
Estimating ToE Risk Level Using CVSS
—Security management is about calculated risk and requires continuous evaluation to ensure cost, time and resource effectiveness. Parts of which is to make future-oriented, costb...
Siv Hilde Houmb, Virginia N. L. Franqueira