1106 search results - page 100 / 222 » On regularization algorithms in learning theory |
176
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PAMI
2008
15 years 5 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
205
Voted
JMLR
2010
14 years 12 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
167
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JMLR
2012
13 years 7 months ago
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
136
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ICFEM
2004
Springer
15 years 10 months ago
2004
Springer
We present a novel approach for verifying safety properties of finite state machines communicating over unbounded FIFO channels that is based on applying machine learning techniqu...
143
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CAV
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...