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» Evolino for recurrent support vector machines
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ICASSP
2009
IEEE
13 years 2 months ago
Phonological features in discriminative classification of dysarthric speech
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
Frank Rudzicz
NIPS
2004
13 years 6 months ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
ICASSP
2011
IEEE
12 years 8 months ago
Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
Florian Eyben, Stavros Petridis, Björn Schull...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 5 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
ICASSP
2011
IEEE
12 years 8 months ago
Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
Felix Weninger, Björn Schuller