296 search results - page 40 / 60 » How to process uncertainty in machine learning |
JMLR
2011
13 years 3 months ago
2011
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
ACMICEC
2006
ACM
14 years 2 months ago
2006
ACM
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
CVPR
2007
IEEE
14 years 3 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
AI
2008
Springer
13 years 9 months ago
2008
Springer
This article is inspired by recent psychological studies confirming that a child is not born a blank slate but has important innate capabilities. An important part of the "le...
AAAI
2012
11 years 11 months ago
2012
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...