889 search results - page 107 / 178 » Probabilistic Neural Network Models for Sequential Data |
KDD
1997
ACM
14 years 5 days ago
1997
ACM
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
EOR
2007
13 years 8 months ago
2007
This paper proposes a theoretical framework for predicting financial distress based on Hunt’s (2000) Resource-Advantage Theory of Competition. The study focuses on the US retail...
ICAI
2007
13 years 9 months ago
2007
Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As biomolecular...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
In previous work, we have developed a "Glance-Look" model, which has replicated a broad profile of data on the semantic Attentional Blink (AB) task and characterized how ...
JMLR
2010
13 years 2 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...