209 search results - page 16 / 42 » Analyzing the Errors of Unsupervised Learning |
72
Voted
EMNLP
2010
14 years 7 months ago
2010
We employ statistical methods to analyze, generate, and translate rhythmic poetry. We first apply unsupervised learning to reveal word-stress patterns in a corpus of raw poetry. W...
JMLR
2008
14 years 9 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
KBS
2006
14 years 9 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
89
Voted
ICA
2007
Springer
15 years 1 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
81
Voted
IJCAI
2003
14 years 11 months ago
2003
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...