1136 search results - page 49 / 228 » Learning with Weighted Transducers |
AUSAI
2004
Springer
14 years 2 months ago
2004
Springer
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
NN
2000
Springer
13 years 8 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
NIPS
2008
13 years 10 months ago
2008
We propose a general method called truncated gradient to induce sparsity in the weights of onlinelearning algorithms with convex loss functions. This method has several essential ...
ICALT
2007
IEEE
14 years 3 months ago
2007
IEEE
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framewo...
NIPS
2004
13 years 10 months ago
2004
Two neural networks that are trained on their mutual output synchronize to an identical time dependant weight vector. This novel phenomenon can be used for creation of a secure cr...