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ICASSP
2011
IEEE
14 years 10 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
ICASSP
2011
IEEE
14 years 10 months ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...
ICASSP
2011
IEEE
14 years 10 months ago
Structured Output Layer neural network language model
This paper introduces a new neural network language model (NNLM) based on word clustering to structure the output vocabulary: Structured Output Layer NNLM. This model is able to h...
Hai Son Le, Ilya Oparin, Alexandre Allauzen, Jean-...
MMM
2011
Springer
210views Multimedia» more  MMM 2011»
14 years 9 months ago
Size Matters! How Thumbnail Number, Size, and Motion Influence Mobile Video Retrieval
Various interfaces for video browsing and retrieval have been proposed that provide improved usability, better retrieval performance, and richer user experience compared to simple ...
Wolfgang Hürst, Cees G. M. Snoek, Willem-Jan ...
IS
2012
14 years 2 months ago
On the refactoring of activity labels in business process models
Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred mode...
Henrik Leopold, Sergey Smirnov 0002, Jan Mendling
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