ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
This essay gives advice to authors of papers on machine learning, although much of it carries over to other computational disciplines. The issues covered include the material that...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
