1900 search results - page 123 / 380 » Gaussian Processes in Machine Learning |
89
Voted
OTM
2005
Springer
15 years 6 months ago
2005
Springer
This article introduces the concept of context knowledge discovery process, and presents a middleware architecture which eases the task of ubiquitous computing developers, while su...
149
Voted
ML
2002
ACM
15 years 8 days ago
2002
ACM
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
ICALT
2005
IEEE
15 years 6 months ago
2005
IEEE
Up to date, there is no standardized notation scheme for modeling SCORM-conformant contents. It is a time-consuming process to build up a new and widely-acceptable notation scheme...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
120
Voted
COLT
2006
Springer
15 years 4 months ago
2006
Springer
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...