703 search results - page 26 / 141 » Predicting Time Series with Support Vector Machines |
142
Voted
COLING
2008
15 years 4 months ago
2008
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
109
Voted
ADMA
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
129
Voted
MICCAI
2005
Springer
16 years 4 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
144
click to vote
ICANN
2001
Springer
15 years 7 months ago
2001
Springer
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
145
click to vote
ML
2002
ACM
15 years 3 months ago
2002
ACM
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...