1900 search results - page 334 / 380 » Gaussian Processes for Machine Learning |
SIGSOFT
2010
ACM
13 years 5 months ago
2010
ACM
Software systems are designed and engineered to process data. However, software is data too. The size and variety of today's software artifacts and the multitude of stakehold...
EMNLP
2009
13 years 5 months ago
2009
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recent work in machine learning considers the problem of identifying bird species from an audio recording. Most methods require segmentation to isolate each syllable of bird call ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...