957 search results - page 167 / 192 » From Margin to Sparsity |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
ESOP
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
SAC
2011
ACM
12 years 10 months ago
2011
ACM
Semantic caching augments cached data with a semantic description of the data. These semantic descriptions can be used to improve execution time for similar queries by retrieving ...
JMLR
2012
11 years 10 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...