18 search results - page 3 / 4 » Distributed computing methodology for training neural networ... |
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
GECCO
2007
Springer
14 years 26 days ago
2007
Springer
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
PPSN
1990
Springer
13 years 10 months ago
1990
Springer
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
CIVR
2008
Springer
13 years 8 months ago
2008
Springer
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we present an audiovisual approach to distinguishing laughter from speech and we sh...
KDD
2000
ACM
13 years 10 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...