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JCP
2007
121views more  JCP 2007»
15 years 3 months ago
Learning by Discrimination: A Constructive Incremental Approach
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
Christophe G. Giraud-Carrier, Tony R. Martinez
TNN
1998
92views more  TNN 1998»
15 years 3 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
ICASSP
2011
IEEE
14 years 7 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...
137
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PCM
2001
Springer
169views Multimedia» more  PCM 2001»
15 years 8 months ago
Emotion Detection from Speech to Enrich Multimedia Content
The paper describes an experimental study on the detection of emotion from speech. As computer based characters such as avatars and virtual chat faces become more common, the use ...
Feng Yu, Eric Chang, Ying-Qing Xu, Heung-Yeung Shu...
112
Voted
CORR
2008
Springer
114views Education» more  CORR 2008»
15 years 4 months ago
A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables
The LETOR website contains three information retrieval datasets used as a benchmark for testing machine learning ideas for ranking. Algorithms participating in the challenge are re...
Nir Ailon