Sciweavers

296 search results - page 7 / 60
» How to process uncertainty in machine learning
Sort
View
ICML
2005
IEEE
14 years 9 months ago
ROC confidence bands: an empirical evaluation
This paper is about constructing confidence bands around ROC curves. We first introduce to the machine learning community three band-generating methods from the medical field, and...
Sofus A. Macskassy, Foster J. Provost, Saharon Ros...
ML
2007
ACM
122views Machine Learning» more  ML 2007»
13 years 8 months ago
Status report: hot pickles, and how to serve them
The need for flexible forms of serialisation arises under many circumstances, e.g. for doing high-level inter-process communication or to achieve persistence. Many languages, inc...
Andreas Rossberg, Guido Tack, Leif Kornstaedt
ICALT
2006
IEEE
14 years 2 months ago
Integrating Learning Objects to Business Processes
The fast development of technologies requires specialized skills that need to be renewed frequently. For example, the semantic web technologies related to knowledge centric organi...
Juha Puustjärvi
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
14 years 9 days ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
ESSMAC
2003
Springer
14 years 2 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith