3050 search results - page 317 / 610 » On-line Algorithms in Machine Learning |
198
click to vote
UAI
1996
15 years 7 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
172
click to vote
FLAIRS
2010
15 years 8 months ago
2010
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
183
click to vote
IFIP12
2010
15 years 5 months ago
2010
We attack the task of predicting which news-stories are more appealing to a given audience by comparing ‘most popular stories’, gathered from various online news outlets, over ...
205
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
193
click to vote
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...