1900 search results - page 304 / 380 » Gaussian Processes in Machine Learning |
NIPS
2004
13 years 10 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
CHI
2002
ACM
14 years 9 months ago
2002
ACM
Navigating through new voicemail messages to find messages of interest is a time-consuming task, particularly for high-volume users. When checking messages under a time constraint...
WWW
2009
ACM
14 years 3 months ago
2009
ACM
This paper presents a near real-time multilingual news monitoring and analysis system that forms the backbone of our research work. The system integrates technologies to address t...
PRIB
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
ICONS
2008
IEEE
14 years 3 months ago
2008
IEEE
With the increasing interest in developing pervasive computing technologies there is growing recognition of the problems of maintaining user privacy. In the Daidalos pervasive sys...