590 search results - page 69 / 118 » Can We Learn to Beat the Best Stock |
116
click to vote
JCDL
2003
ACM
15 years 3 months ago
2003
ACM
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
JMLR
2002
14 years 9 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
111
click to vote
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....