1364 search results - page 158 / 273 » Sampling Methods for Unsupervised Learning |
161
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
134
Voted
CORR
2004
Springer
15 years 2 months ago
2004
Springer
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
134
Voted
COLING
2002
15 years 2 months ago
2002
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
256
Voted
ICANN
2011
Springer
14 years 6 months ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
135
Voted
PAMI
2006
15 years 2 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...