1034 search results - page 53 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
UAI
2003
14 years 11 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
ICML
1994
IEEE
15 years 1 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
SIGIR
2000
ACM
15 years 2 months ago
2000
ACM
We present a Java-based framework, SWAMI (Shared Wisdom through the Amalgamation of Many Interpretations) for building and studying collaborative filtering systems. SWAMI consist...
CHI
2008
ACM
15 years 10 months ago
2008
ACM
As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study,...