1769 search results - page 26 / 354 » Prediction on Spike Data Using Kernel Algorithms |
DCC
2009
IEEE
14 years 8 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
NIPS
2008
13 years 9 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
DCC
2010
IEEE
13 years 6 months ago
2010
IEEE
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
JMLR
2002
13 years 7 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...