916 search results - page 94 / 184 » Algorithm selection: a quantitative computation-intensive op... |
149
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JSA
2010
14 years 10 months ago
2010
During the past few years, embedded digital systems have been requested to provide a huge amount of processing power and functionality. A very likely foreseeable step to pursue th...
115
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ECML
2005
Springer
15 years 8 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
119
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RTCSA
2000
IEEE
15 years 7 months ago
2000
IEEE
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...
140
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IBPRIA
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
136
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NIPS
2007
15 years 4 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...