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ISNN
2010
Springer
13 years 6 months ago
Pruning Training Samples Using a Supervised Clustering Algorithm
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
Minzhang Huang, Hai Zhao, Bao-Liang Lu
PAMI
2010
132views more  PAMI 2010»
13 years 6 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
13 years 6 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
ICONIP
2009
13 years 5 months ago
Exchange Rate Forecasting Using Classifier Ensemble
: In this paper, we investigate the impact of the non-numerical information on exchange rate changes and that of ensemble multiple classifiers on forecasting exchange rate between ...
Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu...
IJDMB
2011
85views more  IJDMB 2011»
13 years 2 months ago
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Tamara Polajnar, Simon Rogers, Mark Girolami