图 书 馆开课单位--IBM
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1Industry 1: Semantic Solutions: Generating Business Value from Semantic Web Technologies[行业1：语义解决方案：从语义Web技术中产生商业价值]
Tony Stuart(IBM) Thanks to the efforts of many researchers over the past five years, Semantic Web technologies have reached the point where they are now enabling new t...
热度：14
Tony Stuart(IBM) Thanks to the efforts of many researchers over the past five years, Semantic Web technologies have reached the point where they are now enabling new t...
热度：14
2Designing Efficient Cascaded Classifiers: Tradeoff between Accuracy and Cost[设计高效的级联分类器：精度和成本之间的权衡]
Balaji Krishnapuram(IBM) We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft ...
热度：18
Balaji Krishnapuram(IBM) We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft ...
热度：18
3Deep Learning with Limited Numerical Precision[有限数值精度的深度学习]
Suyog Gupta(IBM) Training of large-scale deep neural networks is often constrained by the available computational resources. We study the effect of limited precision d...
热度：34
Suyog Gupta(IBM) Training of large-scale deep neural networks is often constrained by the available computational resources. We study the effect of limited precision d...
热度：34
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