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» Sublinear Optimization for Machine Learning
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 8 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
ISM
2008
IEEE
110views Multimedia» more  ISM 2008»
14 years 2 months ago
A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy
Many multimedia applications rely on the computation of logarithms, for example, when estimating log-likelihoods for Gaussian Mixture Models. Knowing of the demand to compute loga...
Oriol Vinyals, Gerald Friedland
MLMI
2007
Springer
14 years 1 months ago
To Separate Speech
The PASCAL Speech Separation Challenge (SSC) is based on a corpus of sentences from the Wall Street Journal task read by two speakers simultaneously and captured with two circular ...
John W. McDonough, Ken'ichi Kumatani, Tobias Gehri...
SEAL
1998
Springer
13 years 12 months ago
Automating Space Allocation in Higher Education
The allocation of office space in any large institution is usually a problematical issue, which often demands a substantial amount of time to perform manually. The result of this a...
Edmund K. Burke, D. B. Varley
COLT
1995
Springer
13 years 11 months ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais