3694 search results - page 5 / 739 » Stochastic complexity in learning |
STAIRS
2008
13 years 9 months ago
2008
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
UAI
1998
13 years 8 months ago
1998
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
TNN
2008
13 years 7 months ago
2008
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
ML
2000
ACM
13 years 7 months ago
2000
ACM
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...