922 search results - page 171 / 185 » Learning Gaussian Process Models from Uncertain Data |
AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
IJVR
2008
13 years 7 months ago
2008
Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most...
EMNLP
2009
13 years 5 months ago
2009
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
EMNLP
2011
12 years 7 months ago
2011
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
SIGIR
1999
ACM
13 years 11 months ago
1999
ACM
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...