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104
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NPL
2006
85views more  NPL 2006»
15 years 2 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
ICASSP
2009
IEEE
15 years 9 months ago
Unsupervised acoustic and language model training with small amounts of labelled data
We measure the effects of a weak language model, estimated from as little as 100k words of text, on unsupervised acoustic model training and then explore the best method of using ...
Scott Novotney, Richard M. Schwartz, Jeff Ma
ADMA
2006
Springer
153views Data Mining» more  ADMA 2006»
15 years 4 months ago
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
Daniel Neagu, Gongde Guo, Shanshan Wang
126
Voted
NIPS
2004
15 years 4 months ago
On Semi-Supervised Classification
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
Balaji Krishnapuram, David Williams, Ya Xue, Alexa...
101
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CERA
2005
101views more  CERA 2005»
15 years 2 months ago
An Integrated Approach to Manufacturing Process Design and Costing
In order to accurately cost the new product manufacture, and to assess a `what if' scenario in a rapid manner, requires an information system which can integrate the process ...
S. Grewal, C. K. Choi