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NIPS
2001
15 years 8 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ACL
1994
15 years 8 months ago
A Corpus-Based Approach to Automatic Compound Extraction
An automatic compound retrieval method is proposed to extract compounds within a text message. It uses n-gram mutual information, relative frequency count and parts of speech as t...
Keh-Yih Su, Ming-Wen Wu, Jing-Shin Chang
NIPS
1994
15 years 8 months ago
Efficient Methods for Dealing with Missing Data in Supervised Learning
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
Volker Tresp, Ralph Neuneier, Subutai Ahmad
COMPUTING
2006
119views more  COMPUTING 2006»
15 years 6 months ago
Sparse Grids, Adaptivity, and Symmetry
Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...
Harry Yserentant
CORR
2006
Springer
91views Education» more  CORR 2006»
15 years 6 months ago
Universal Codes as a Basis for Time Series Testing
We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, ba...
Boris Ryabko, Jaakko Astola