112 search results - page 9 / 23 » Semi-supervised learning using label mean |
109
Voted
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
106
Voted
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
109
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NIPS
2004
15 years 1 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
152
Voted
EMNLP
2011
13 years 11 months ago
2011
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
98
Voted
ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...