209 search results - page 28 / 42 » Analyzing the Errors of Unsupervised Learning |
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
137
click to vote
AII
1992
15 years 1 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
95
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
SADM
2010
14 years 4 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
AIED
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. The behaviorist view of learning that informs much of traditional schooling is not likely to invite students and teachers to see errors in a positive light. This is parti...